Category of Course/ Code 
Definitions 
L 
Lecture 
P 
Practical 
C 
Credit 
CIE 
Continuous Internal Evaluation 
SEE 
Semester End Examination 
EI 
Electrical and Instrumentation Engineering 
RM 
Research Methodology 
PC 
Professional Core Courses 
PE 
Professional Elective courses 
PRPC/ PRPE/ PRS 
Practical Professional Core/ Program Elective/Seminar 
ADC 
Mandatory Audit Courses 
S. No 
Category 
Course No. 
Course Title 
C 
Teaching Schedule 

L 
T 
P 
ContHrs. 

Professional Core Courses 

1 
PC 
EIPC103 
Biomedical Instrumentation 
3 
3 
0 
0 
3 
2 
PC 
EIPC105 
Advanced Electric Drive 
3 
3 
0 
0 
3 
3 
PC 
EIPC107 
Advance Process Control 
3 
3 
0 
0 
3 
4 
PC 
EIPC104 
Power Quality Monitoring and Conditioning 
3 
3 
0 
0 
3 
5 
PC 
EIPC106 
PLC & DCS 
3 
3 
0 
0 
3 
6 
PC 
EIPC108 
Embedded System Design 
3 
3 
0 
0 
3 
7 
PC 
EIPC110 
Advanced Power System 
3 
3 
0 
0 
3 
8 
PC 
EIPC201 
Smart & Micro Sensor Design 
3 
3 
0 
0 
3 
9 
PRPC 
EIPRPC101 
Process Control Lab 
1.5 
0 
0 
3 
3 
10 
PRPC 
EIPRPC103 
Advanced Electric Drive Lab 
1.5 
0 
0 
3 
3 
11 
PRPC 
EIPRPC102 
Advanced Power System Lab. 
1.5 
0 
0 
3 
3 
12 
PRPC 
EIPRPC104 
Embedded Systems Lab 
1.5 
0 
0 
3 
3 
13 
PRPC 
EIPRPC203 
Dissertation Phase1 
06 
0 
0 
12 
12 
14 
PRPC 
EIPRPC204 
Dissertation 
16 
0 
0 
32 
— 



Total 
52 
24 

56 
48 
Program Elective Courses 

1 
PE 
EIPE101 
Program ElectiveI 
3 
3 
0 
0 
3 



(i) Control system Design 








(ii) Process Equipment Design 








(iii) Industrial Environmental Engineering 








(iv) Power Plant Engineering 








(v) Energy Auditing and methodology 








(vi) Energy Efficient Machines 





2 
PE 
EIPE102 
Program ElectiveII 
3 
3 
0 
0 
3 



(i) Renewable & NonConventional Energy 








(ii) Theory and Design of Neuro fuzzy controllers 








(iii) Digital Control System 








(iv) HVDC Transmission System 








(v) Energy Management 








(vi) Process Modeling and Control 








(vii) Advance Power Electronics 





3 
PE 
EIPE203 
Program ElectiveIII 
3 
3 
0 
0 
3 



(i) Digital Signal Processing 








(ii) Sensors and Transducers 








(iii) Reliability Engineering 








(iv) Electrical Vehicle Engineering 








(v) System Theory 








(vi) Intelligent Instrumentations 








(vii) Industrial Power Electronics 








Total 
09 
09 
0 
0 
09 
1 
RM 
EIRM109 
Research Methodology & IPR 
1 
2 
0 
0 
2 
Seminars 










1 
PRS 
EIPRS105 
SeminarI 
1 
0 
0 
2 
2 

PRS 
EIPRS106 
SeminarII 
1 
0 
0 
2 
2 

PRS 
EIPRS201 
Current Literature Report & Seminar 
2 
0 
0 
4 
4 



Total 
04 
0 
0 
08 
08 
Course Code: EIPE101 
Course Name: Program ElectiveI CONTROL SYSTEM DESIGN (i) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Control System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study Design Specifications of control system. 

2. Study the concept of multicriteria optimization, norms of scalar & vector signals, norms of SISO LTI & MIMO LTI systems, state space methods for computing norms. 

3. Study closed loop convex design specifications, convexity & duality. 

4. Study the concept of Reliability & closed loop stability, regulation specifications, differential sensitivity specifications, robustness specifications. 

5. Study, analysis and design of Compensators & controller using various techniques including Root locus & Bode plots 

6. Study the state variable analysis, controllability and observability, state feedback for SISO system and MIMO systems and their design 

7. Introduction to design of nonlinear system. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand the concept of multicriteria optimization, norms of scalar & vector signals, norms of SISO LTI & MIMO LTI systems, state space methods for computing norms. 

CO2 
Ability to understand the concept of closed loop convex design specifications, convexity & duality. 

CO3 
Ability to understand the concept of Reliability & closed loop stability, regulation specifications, differential sensitivity specifications, robustness specifications. 

CO4 
Ability to analysis and design of Compensators& controllers by different techniques. 

CO5 
Ability to understand concept of state feedback for SISO system and MIMO systems and their design. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
INTRODUCTION: Control System Architecture, Design Specifications Functional inequally specifications, multicriteria optimization, norms of scalar & vector signals, norms of SISO LTI & MIMO LTI systems, state space methods for computing norms, design specifications as sets, affine & convex sets and functions, closed loop convex design specifications, convexity & duality 
8 
CO1, CO2 
2 
DESIGN SPECIFICATIONS: Reliability & closed loop stability, I/O specifications, regulation specifications, actuator effort, combined effect of disturbances & commands, differential sensitivity specifications, robustness specifications via gain bounds. 
9 
CO1,CO3 
3 
Compensators & CONTROLLERS DESIGN: Selection criteria and design of lead, lag, leadlag and cascade type of compensators using Root locus & Bode plots, Rate feedback. Controllers – configuration and fundamentals of design, cascade and feedback compensation using various controllers. 
10 
CO3 CO4 CO5 
4 
STATE VARIABLE FEED BACK DESIGN: Introduction to state variable analysis, controllability and observability, state feedback for SISO system, state feedback design of SISO system using control canonical form. State variable feedback _ steady state error analysis, Use of steady state error coefficients, design of state observers, Introduction to design of MIMO systems. Introduction to design of nonlinear system and software. 
10 
CO4 CO5 
TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE101 
Course Name: Program Elective I, Process Equipment Design (ii) 
L 
T 
P 

C 

3 
– 
– 

3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 

Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Process Control Systems 

Evaluation 

CIE: 40 

SEE: 60 

Course Objectives: 

1. It aims to equip the students with Equipment design 

2. To provide adequate knowledge about various types of equipment 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Distinguish between various process devices and equipments Control and optimize process equipments Characterize storage equipments Design heat exchange equipment 

CO2 

CO3 

CO4 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Valve Noise calculation and reduction: Sources of valve noise, noise control, path treatment, valve treatment, valve noise calculation. Design & construction of Globe valve: valve trends, trim design, trim flow characteristics, flow range ability, standard trim configuration, valve plug stems, Body form of single and double seated globe valve, Bonnet design of global valve. Construction and flow characteristics of butterfly valve. 
8 
CO1 
2 
Boiler control and optimization, compressor control and optimization, cooling tower control and optimization, distillation controls, evaporator controls Basics of Process Equipment Design: General design procedure, Computer design, Fabrication techniques, Equipment classification, Power of rotational motion, Drives for process equipment. 
8 
CO1, CO2 
3 
Pressure Vessels: Pressure vessel code, Operating conditions – at low temperatures, at elevated temperatures, Design considerations and stresses, fabrication, inspection and tests, unfired vessel codes, High pressure vessels: Constructional features, materials, solid walled, multi shell, vessel closures, Jacket for vessels, Examples. Storage Vessels: Storage of fluids, Nonvolatile liquids, volatile liquids and gases, Design of tanks, rectangular tanks, nozzles and mounting, Large capacity storage tanks, Examples. Reaction Vessels: Materials for construction, agitation, classification of reaction vessels, heating systems. 
8 
CO1, CO3 
4 
Heat Exchangers: Types of heat exchangers, design of shell and tube heat exchangers. Evaporators and Crystallisers: Types of evaporators, entrainment separators, materials and design considerations, crystallisers, Examples. Process Hazards and Safety Measures in Equipment design. Process flow diagrams. 
8 
CO1 CO4 
Text Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE101 
Course Name: Program ElectiveI INDUSTRIAL ENVIRONMENTAL ENGINEERING (iii) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Nil 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the concept of air, water and noise pollution monitoring 

2. To study the concepts of emission type pollution controls 

3. To study the various air pollution monitoring instruments and methods for process industries. 

4. To introduce the pollution control and monitoring methods for pulp and paper industries. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Identify sources of air ,noise and water pollution and their effects 

CO2 
Sample and analyze air pollutants 

CO3 
Understand the air quality monitoring instruments 

CO4 
Sample and analyze water borne pollutants 

CO5 
Understand the water quality monitoring instruments 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
INTRODUCTION: Source and classification of Air Pollution, Effect of Air Pollution in Human Health, Effect of Air Pollution on Animals, Effect of Air Pollution on Plants, Economics Effects of Air Pollution, Control of Air Pollution by Equipment, Control of Air Pollution by Process Changes, Air Pollution from Major Industrial Operations, Air Pollution legislation and regulation, Environment Protection Act, Air Pollution in Indian cities, Water & Noise Pollution. & its control, Green House effects & its control. 
8 
CO1 
2 
POLLUTION CONTROL FOR SPECIFIC POLLUTANTS: Industrial Pollution Emission and Indian Standards, Analysis of Pollutants, Control of BOD, Removal of Chromium, Removal of Mercury, Removal of Ammonia / urea, Treatment of Phenolic Effects, Removal of particular matter, Removal of Sulphur Dioxide, Removal of Oxides of Nitrogen, Removal of Vapour from Efficient case, Control of CO2 and CO. 
8 
CO1,CO2 
3 
POLLUTION CONTROL IN SELECTED PROCESS INDUSTRIES: General considerations of Pollution Control in Chemical Industries, Pollution Control aspects of fertilizer industries, Pollution Control in Petroleum & Petrochemical Units. 
8 
CO2,CO3 
4 
Pollution Control in Pulp & Paper Industries, Tanning Industries, Sugar Industries, Alcohol Industries, Electroplating & Metal Finishing Industries, Radioactive Wastes, Pollution Control methods used in Power Plants. 
8 
CO1, CO4, CO5 
REFERENCE BOOKS:
Publication, Delhi.
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE101 
Course Name: Program ElectiveI POWER PLANT ENGINEERING (iv) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Basic Science 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study the concept of steam power plant. 

2. To study the concept of Hydroelectric power plants and Nuclear power plants 

3. To study the concept of gas turbine and diesel power plants. 

4. To study the combined operation of different power plants. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand the operation of steam power plant. 

CO2 
To understand the operation of Hydroelectric power plants and Nuclear power plants 

CO3 
To understand the operation of gas turbine and diesel power plants. 

CO4 
To understand the combined operation of different power plants. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Steam generators, condensers and turbines: Classification of steam generators, selection, operation of locomotive, Babcock Wilcox, Cochran boilers, Types of condensers, effect of air in condensers, Dalton’s law of partial pressure, cooling water calculations, steam nozzles, types of steam turbine efficiencies, compounding, governing and control. Steam power plant: Classification, Operation, Description of Rankin cycle, Regenerative cycle, ReheatRegenerative Cycle, Binary Vapour Cycle, Selection of plant site and its layout, coal handling system, combustion system, Fluidised bed combustion, Ash handling, Feed pumps, Heat exchangers, Economizers, Super heaters, Reheaters, Air preheaters, Feed water heaters, Evaporators. 
8 
CO1 
2 
Hydroelectric power plants: Hydrological Cycle, Hydrograph, Flow duration curve, Selection of site, Essential features, Classification of hydro plants, Selection of water turbines for hydro power plant, Automatic and remote control of hydrostation, layout of hydro power plant. Nuclear power plants: Nuclear physics, Binding energy, Radioactive decay. Fertile material, Mass defect, Nuclear reactions type and application, Generation of nuclear energy by fission, Nuclear reactors. Site selections, safety measures, plant layout, Fusion reaction, Future of nuclear power. 
8 
CO2 
3 
Gas turbine: Elements of gas turbines, Open and closed cycles for gas turbines, Performance terms, Thermal refinement to gas turbines cycle, Plant layout, applications, gas turbines Cycle calculations. Diesel power plants: Classifications of IC Engines and their performance, Four stroke and two stroke diesel engines, combustion phenomenon; Essential components, Celane number, knocking, super charging, operation and layout of diesel power plant. 
8 
CO3 
4 
Combined operation of different power plants: Advantages of combined operation of plants, load division between power stations, coordination of different types of Power Plants. Pollution control: Pollution from thermal & nuclear plants, Particulate emission and control, electrostatic precipitator, solid waste disposal. 
8 
CO4 
TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE101 
Course Name: Program ElectiveI ENERGY AUDITING AND METHODOLOGY (v) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Electrical Measurements and Instruments 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the concept of Energy Management and Audit. 

2. To study the concepts of financial management. 

3. To study and analysis various type of appliance in electrical system. 

4. To study the conceptual theory and working of refrigeration system. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand the concept of Energy Management and Audit. 

CO2 
To understand the concepts of financial management. 

CO3 
To familiarize with various type of appliance in electrical system. 

CO4 
To understand conceptual theory and working of refrigeration system. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Energy Scenario: Energy needs of growing economy, Long term energy scenario, Energy pricing, Energy sector reforms, Energy and environment: Air pollution, Climate change, Energy security, Energy conservation and its importance, Energy strategy for the future, Energy conservation Act 2001 and its features. Energy Management and Audit: Definition, Energy audit need, Types of energy audit, Energy management (audit) approachunderstanding energy costs, Bench marking, Energy performance, Matching energy use to requirement, Maximizing system efficiencies, Optimizing the input energy requirements, Fuel and energy substitution, Energy audit instruments. 
8 
CO1 
2 
Material and Energy balance: Facility as an energy system, Methods for preparing process flow, Material and energy balance diagrams. Financial Management: Investmentneed, Appraisal and criteria, Financial analysis techniques Simple payback period, Return on investment, Net present value, Internal rate of return, Cash flows, Risk and sensitivity analysis, Financing options, Energy performance contracts and role of energy savings companies (ESCOs). 
8 
CO2 
3 
Electrical system: Electricity tariff, Load management and maximum demand control, Power factor improvement, Distribution and transformer losses. Losses in induction motors, Motor efficiency, Factors affecting motor performance, Rewinding and motor replacement issues, energy efficient motors. Light source, Choice of lighting, Luminance requirements, and Energy conservation avenues Compressed air system: Types of air compressors, Compressor efficiency, efficient compressor operation, Compressed air system components, Capacity assessment, Leakage test Factors affecting the performance and efficiency. 
8 
CO3 
4 
High Voltage Alternating Current and Refrigeration System: Vapor compression refrigeration cycle, Refrigerants, Coefficient of performance, Capacity, Factors affecting refrigeration and air conditioning system performance and savings opportunities, Vapor absorption refrigeration system: Working principle, Types and comparison with vapor compression system, Saving potential, Fans, Blowers and pumps Types, Performance evaluation, Efficient system operation, Flow control strategies and energy conservation opportunities. 
8 
CO4 
TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE101 
Course Name: Program ElectiveI ENERGY EFFICIENT MACHENES (vi) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Electrical Machines 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the concept of energy management and energy audit system. 

2. To introduce the concept and Economics of Power factor improvements. 

3. To study the concept of Energy efficient machines Energy efficient and Economics of Energy power generation. 

4. To study the concept of economics of electrical energy distribution and electrical drives. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To Familiarize withthe concept of the concept of energy management and energy audit system 

CO2 
To understand the concept of Energy efficient machines and Economics of Power factor improvements. 

CO3 
To Familiarize with the concept of Energy efficient machines and Economics of Energy power generation. 

CO4 
To understand the concept of economics of electrical energy distribution and electrical drives. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
INTRODUCTION: Need for energy efficient machines, energy cost and two part tariff, energy conservation in industries and farms a necessity, introduction to energy management and energy audit system. Review of induction motor characteristics. 
7 
CO1 
2 
POWER FACTOR: The power factor in sinusoidal systems, power factor improvement, power factor with nonlinear loads, Harmonics and the power factor. 
7 
CO2 
3 
ENERGY EFFICIENT MOTORS: Standard motor efficiency, why more efficient motors? An energy efficient motor, efficiency determination methods, Direct Measurement method, Loss segregation method, Comparison, motor efficiency labelling, energy efficient motor standards. Motor life cycle. 
8 
CO3 
4 
INDUCTION MOTORS AND ADJUSTABLE DRIVE SYSTEMS: Energy Conservation, adjustable speed systems, Application of adjustable speed systems to fans, pumps and constant torque loads. 
8 
CO4 
TEXT /REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC103 
Course Name: BIOMEDICAL INSTRUMENTATION 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st}Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Physics, Basic Electrical Engineering. 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the concept of Bio Instrumentation like Medical Bio Potential Electrodes and Biomedical Recorders. 

2. To study cardiac and Respiratory measurements system 

3. To study Instrumentation for Measuring Nervous Function. 

4. To study Recent Trends in Biomedical Engineering. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To Familiarize with Bio Medical Instrumentation. 

CO2 
To understand cardiac and Respiratory measurements system. 

CO3 
To understand Instrumentation for Measuring Nervous Function. 

CO4 
To understand the Recent Biomedical devices instrumentation. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Characteristics of Transducers and Electrodes for Biological Measurement: Introduction to human body; block diagram, classification, characteristics, various physiological events and suitable transducer for their recording, bioelectric potentials 
5 
CO1 
2 
Cardiac & System: Cardiac musculature, Electro cardiography, ECG recording, Phonocardiography, holter recoding ECG lead system, Heart rate meter, vector cardiography, Pacemakers, Defibrillators. Blood Pressure and Blood Flow Measurement: Invasive and noninvasive methods of Blood pressure, Characteristics of blood flow and heart sound, Cardiac output measurement, Plethysmography. Respiratatory System: Mechanics of breathing, Parameters of respiration, Respiratory system measurements, Respiratory therapy instruments 
7 
CO1, CO2 
3 
Instrumentation for Measuring Nervous Function: EEG signal, frequency band classification, Lead systems, EEG recording, Clinical applications of EEG signal, Xray CT scan, MRI, PET. Muscoskeletal systems: EMG, Clinical applications, and Muscles stimulator. Clinical Laboratory Instrumentation: Test on blood cell, Blood cell counter, Blood glucose monitors, auto analyzer, Pulseoximeter. 
7 
CO3 
4 
Recent Trends in Biomedical Engg.: Patient care and monitoring, Noninvasive diagnostic instrumentation, Biotelemetry, Telemedicine, Prosthetic devices, Lie detector test, Application of lasers and ultrasonic in biomedical field. Troubleshooting & Electrical Safety of Biomedical Instruments: Physiological effect of current and safety measurement. 
7 
CO4 
TEXT/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC105 
Course Name: ADVACED ELECTRIC DRIVE 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st}Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Electrical Machines, Power Electronics 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the concept of types of Electric Drives. 

2. To introduce the DC Motor Drives. 

3. To introduce the AC Motor Drives. 

4. To study the Motor power rating. 

5. To implement Traction Drives. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To Familiarize with Dynamics and Control of Electric Drives. 

CO2 
To understand efficient speed control techniques in DC Motor Drives. 

CO3 
To understand efficient speed control techniques in AC Motor Drives. 

CO4 
To understand the significance and selection of power rating. 

CO5 
To familiarization of Load and choice of traction for suitable load. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
Electric Drive: Concept, classification, parts and advantages of electrical dives. Types of Loads, Components of load toques, Fundamental torque equations, Equivalent value of drive parameters for loads with rotational and translational motion. Determination of moment of inertia, Steady state stability, Transient stability. Multiquadrant operation of drives. Load equalization. 
8 
CO1 

2 
Motor power rating: Thermal model of motor for heating and cooling, classes of motor duty, determination ofmotor rating for continuous, short time and intermittent duty, equivalent current, torque and power methods of determination of rating for fluctuating and intermittent loads. Effect of load inertia & environmental factors. Starting of Electric Drives: Effect of starting on Power supply, motor and load. Methods of stating of electric motors. Acceleration time Energy relation during stating, methods to reduce the Energy loss during starting. Braking of Electric Drives: Types of braking, braking of DC motor, Induction motor and Synchronous motor, Energy loss during braking. 
8 
CO1,CO2, 

3 
DC motor drives: Modeling of DC motors, State space modeling, block diagram & Transfer function, Single phase, three phases fully controlled and half controlled DC drives. Dual converter control of DC drives. Power factor, supply harmonics and ripple in motor current chopper controlled DC motor drives. Induction motor drives: Stator voltage variation by three phase controllers, Speed control using chopper resistance in the rotor circuit, slip power recovery scheme. Pulse width modulated inverter fed and current source inverter fed induction motor drive. Volts/Hertz Control, Vector or Field oriented control. 
8 
CO2,CO3 

4 
Synchronous motor drives: Variable frequency control, SelfControl, Voltage source inverter fed synchronous motor drive, Vector control. Introduction to Solar and Battery Powered Drive, Stepper motor, Switched Reluctance motor drive. Industrial application: Drive consideration for Textile mills, Steel rolling mills, Cement mills, Paper mills, Machine tools. Cranes & hoist drives. 
8 
CO4, CO5 

TEXT/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC107 
Course Name: ADVANCE PROCESS CONTROL 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 1^{st} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Control System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study the techniques used for PID controller tuning 

2. Development and synthesis the feedback controllers for specified close loop response 

3. Concept and Study of FC and FO type control valve and their applications with examples, Gain of valve and concept of control valve sizing for liquid, Gas, vapour and steam. (Special reference to Masoneillian & Fisher Equation) and study control valve cavitation and flashing phenomenon 

4. Study and development of advance control techniques for process control and automation 

5. Development of control techniques for safe design of process control and automation 

6. Study and development of Predictive control, Statistical control, Adaptive and Inferential control system 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Able to Analyze the effect of P, PI, PD and PID controllers on a control system and design suitable controller for a typical process 

CO2 
Able to understand FC and FO type control valve and Able to learn and analyze the various principles & concepts involved in valve sizing for liquid, Gas, vapor and steam and control valve cavitation and flashing phenomenon 

CO3 
Ability to understand analysis and development of advance control techniques for process control and automation 

CO4 
Ability to understand analysis and development of Predictive control, Statistical control, Adaptive and Inferential control system techniques for process control and automation 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
PID controller tuning procedures: Close loop oscillation based tuning, ZieglerNichol closeloop method. Tuning rules for first order + dead time processes: step testing quarter decay ratio response, ZieglerNichol open loop method, CohenCoon parameters. Synthesis of feedback controllers: Development of the controller synthesis formula, specifications of close loop response, direct synthesis for minimum and nonminimum phase processes, controller modes and tuning parameters derivative mode for dead time process. Dead Time Compensation (Algorithms for Smith Predictor), & effect of process modeling error. 
10 
CO1 
2 
Control Valve Design: Control valve flow characteristics, Valve & process characteristics, range availability of control valve, control valve sizing for gas, liquid, vapors and steam, Control valve cavitation and flashing, flow control cavitation index, vibration curve cavitation index, calculation of flash fraction, Control valve gain, sequencing of control valve . Valve application, selection, valve capacity testing. 
8 
CO2 
3 
Additional control techniques: Cascade control,. Selective control & Split range control, Cascade control for various processes , dynamic characteristics of Cascade control system and its tuning. Override and Auctioneering control system for various processes, Feedforward control system, Feedforward control of various processes. Design of Feedforward controllers, Feedforward –Feedback control & their relative advantages & disadvantages. 
10 
CO3 
4 
Ratio control system, Predictive control, Statistical control Adaptive and Inferential control system: Programmed Adaptive control, gain scheduling Adaptive control, Self tuning regulator (STR), MRAC, Multivariable Process Control. 
9 
CO4 
TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIRM109 
Course Name: Research Methodology and IPR 
L 
T 
P 
C 

2 
– 
– 
2 

Year and Semester 
1^{st} Yr. 1^{st}Semester 
Contact hours per week: (2Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Nil 
Evaluation 

CIE: 20 
SEE: 30 

Course Objectives 

1. To study the ideas of research methods. 

2. To study about statistical analysis and sampling. 

3. To study about regression and correlation analysis. 

4. To study about edition, tabulation and testing of hypotheses. 

Course Outcomes 

CO1 
To formulate a route map for a particular problem or topic of research 

CO2 
How to test and validate the data through statistical techniques 

CO3 
To implement the suitable methods of sampling for individual problems 

CO4 
To compare and evaluate the results with others 

CO5 
To present the results with more informative details 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
Nature and objective of the research: Methods of Research: Historical, descriptive and experimental. Alternative approaches to the study of the research problem and problem formulation. Formulation of hypotheses: Feasibility, preparation and presentation of proposal. 
8 
CO1, CO5 

2 
Introduction to statistical analysis: Probability and probability distributions, binomial, Poisson, exponential and normal distributions, and their applications. Sampling: Primary and secondary data, their collection and validation, methods of sampling, stratified random sampling, and systematic sampling. 
8 
CO2 CO3 

3 
Regression and correlation analysis: Tests of significance based on normal, t and chi square distributions, analysis of variance. Basic Principles of design of experiments, completely randomized and randomized block designs. 
8 
CO2 CO3 CO4 

4 
Edition, tabulation, & testing of hypotheses, Interpolation of results, presentation, styles for figures, tables, text, quoting of reference and bibliography. Use of software for statistical analysis like SPSS, Mini tab or MAT lab, Report writing, preparation of thesis. 
8 
CO4 CO5 

TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPRPC101 
Course Name: Process Control Lab 
L 
T 
P 
C 

0 
0 
3 
1.5 

Year and Semester 
1^{st} Year 1^{st }Semester 
Contact hours per week: (3Hrs) Exam: (3hrs.) 

Prerequisite of course 
Control Engineering Lab. 
Evaluation 

CIE: 20 
SEE: 30 

Course Objectives: 

1. To Familiarization of PLC Ladder Programming Instructions Set 

2. To compile and execute programs in Ladder Programming 

3. To study the PC and PLC based control systems 

4. To study and write PLC program for the multiple process control systems 

5. To study and write PLC program for different strategies of control system such as feedback, feed forward, cascade, ratio control etc. 

6. To write PLC programs to solve the different control problems 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand PC and PLC based control system and their implementation 

CO2 
Ability to develop PLC Ladder Programming skill 

CO3 
Analyse and implement PLC Ladder Programming for different type of process control system. 

CO4 
Ability to design and develop PLC program for different strategies of control system such as feedback, feed forward, cascade, ratio control for control of process variables 

Expt. No 
COURSE SYLLABUS CONTENTS OF MODULE 
COs 
1 
Familiarization of PLC Ladder Programming Instructions Set 
CO1, CO2, CO3, CO4 
2 
To Study PC Based Traffic Light Control : · Basic Traffic Light Sequence 

3 
PLC Based Traffic Light Control: · PLC Connection Details · Dual Traffic Light Sequence · Traffic Counting · Green Time Alteration According to Traffic Flow · The Pedestrian Crossing · Complete System Control 

4 
To Study Process Control – Ratio, feedback control flow & level 

5 
To Study Rotary Transfer Unit : · Movement of Rotary Table · Initialization · Station Counting · Dispensing · A Production Line System · Follow a Set Routine 

6 
To Study Industrial Control Trainer 

7 
To Study Multiprocess Control Trainer : Feedback, feedforward cascade and ration Control system for flow , temperature and level control 

8 
To study of Pressure Control Unit :Proportional Control : Run a loop experiments using ‘proportional only control’ with the following sets of SP and PG values. Record the eventual ‘steady state’ rate values in the table below, once the initial oscillations have decayed. · Proportional and Integral Control 

9 
To design, Level Control PC : · Proportional Control · Proportional and Integral Control


10 
To Study .Flow control PC & PLC : · Proportional Control · Proportional and Integral Control · Saturation and Integral Windup · Three Term or PID Control · Zeigler / Nichols Tuning


11 
To Study The System Rig : · Proportional Control · Proportional and Integral Control · Saturation and Integral Windup · Three Term or PID Control · Ziegler / Nichols Tuning · Temperature Control · Batch Volume Control · Fluid Level Control · Open Loop Control · Bode Plots · Flow Loop Model using Caldwell’s Method · Flo Loop Model using Sundaresan’s Method · Design of Controller for PCU Flow Loop · PRT Signal Conditioning · Flowmeter Signal Conditioning


12 
Process Control Experiment : · Proportional Control · Proportional and Integral Control · Saturation and Integral Windup · Three Term or PID Control · Ziegler / Nichols Tuning · Temperature Control · Batch Volume Control · Fluid Level Control · Open Loop Control · Bode Plots 
————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII Renewable & NonConventional Energy (i) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
1^{st} year 2^{nd} Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Basic Electrical Engineering and Engineering Science 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To familiarize the energy scenario and the consequent growth of the power generation from renewable energy and nonconventional energy sources. 

2. To study the basic engineering science of renewable and nonconventional energies sources. 

3. To study the wind and solar energy conversion systems for electrical system. 

4. To study the energy conversion techniques for nonconventional sources and applications. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Understand the energy scenario and the consequent growth of the power generation from renewable energy and nonconventional energy sources. 

CO2 
Understand the basic engineering science of renewable and nonconventional energies sources. 

CO3 
Understand the wind and solar energy conversion systems for electrical power system. 

CO4 
To understand the energy conversion techniques for nonconventional sources and applications. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Introduction to Energy sources: Renewable and nonrenewable energy sources, energy consumption as a measure of Nation’s development; strategy for meeting the future energy requirements Global and National scenarios, Prospects of renewable energy sources. Impact of renewable energy generation on environment, Kyoto Protocol. 
7 
CO1 
2 
Solar Energy: Solar radiation – beam and diffuse radiation, solar constant, earth sun angles, attenuation and measurement of solar radiation, local solar time, derived solar angles, sunrise, sunset and day length. flat plate collectors, concentrating collectors, Solar air heaterstypes, solar driers, storage of solar energythermal storage, solar pond , solar water heaters, solar distillation, solar still, solar cooker, solar heating & cooling of buildings, photo voltaic – solar cells, different types of PV Cells, Monopoly Crystalline and amorphous Silicon solar cells. Design of PV array. Efficiency and cost of PV systems & its applications. PV hybrid systems. 
8 
CO2,CO3 
3 
Wind Energy: Principle of wind energy conversion; Basic components of wind energy conversion systems; wind mill components, various types and their constructional features; design considerations of horizontal and vertical axis wind machines: analysis of aerodynamic forces acting on wind mill blades and estimation of power output; wind data and site selection considerations.

7 
CO2,CO3 
4 
Energy from Biomass: Biomass conversion technologies, Biogas generation plants, classification, advantages and disadvantages, constructional details, site selection, digester design consideration, filling a digester for starting, maintaining biogas production, Fuel properties of bio gas, utilization of biogas. Hydrogen Energy and Fuel cell: Introduction, Hydrogen Production methods, Hydrogen storage, hydrogen transportation, utilization of hydrogen gas, hydrogen as alternative fuel for vehicles. Introduction, Design principle and operation of fuel cell, Types of fuel cells, conversion efficiency of fuel cell, and application of fuel cells. 
9 
CO2,CO4 
Reference Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII THEORY AND DESIGN OF NEURO – FUZZY CONTROLLERS (ii) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
1^{st} Year 2^{nd }Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Basic Engineering Mathematics 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study and acquire the basic knowledge of neural network and fuzzy logic. 

2. To study the basic architecture and modeling of neural network control and Fuzzy logic control. 

3. To study various types of fuzzy logic and neural network controllers. 

4. To identify, formulate and solve the neuro fuzzy logic based problems. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand basic concept and working of neural network and fuzzy logic system. 

CO2 
To understand the basic architecture and modeling of neural network control and Fuzzy logic control. 

CO3 
Able to neural network and fuzzy logic techniques in different field, which involve perception, reasoning and learning. 

CO4 
Analyze and design a real world problem for implementation and understand the dynamic behavior of a system. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
NEURAL NETWORK THEORY: Introduction, Biological neurons and their artificial models, Learning, adaptation and neural networks learning rules types of neural networks, Single layer, multiplayer, Feed forward, feedback networks; back propagation, Learning and training, Hop field network. 
8 
CO1,CO2 
2 
NEURAL NETWORKS BASED CONTROL: Neural network for nonlinear systems, Schemes of neuro control, System identification forward model and inverse model, Indirect learning neural network control applications, Case studies. 
8 
CO2,CO3,CO4 
3 
FUZZY LOGIC THEORY : Fuzzy sets ,Fuzzy operation , Fuzzy arithmetic, Fuzzy relations ,Fuzzy relational equations, Fuzzy measure, Fuzzy functions , Approximate reasoning ,Fuzzy propositions ,Fuzzy quantifiers , If–then rules. 
8 
CO1 
4 
FUZZY LOGICBASED CONTROL: Structure of fuzzy logic controller, Fuzzification models, Database, Rule base Inference engine, defuzzification, Module ,Nonlinear fuzzy control, PID like FLC, Sliding mode FLC, Sugeno FLC, Adaptive fuzzy control , Fuzzy control applications case studies. 
8 
CO2,CO3,CO4 
REFERENCE BOOKS
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII DIGITAL CONTROL SYSTEM (iii) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 2^{nd} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Control System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study the digital control system details: Signal flow graph, Time domain analysis, correlation between time response & root location in S & Z transform and stability in Zplane 

2. Study the digital control system design by various methods in Zplane 

3. Study of techniques for analysis of nonlinear system, concept of local, global, asymptotic and total stability of nonlinear system, Liapunov’s stability criterion. 

4. Study of Tuning procedure for PID controllers and Design considerations for Robust control. 

5. Study the concept, analysis and design of Adaptive and Learning system. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand the concept, analyze the Digital control system and their stability 

CO2 
Ability to understand the digital control system design by various methods in Zplane 

CO3 
Ability to understand the techniques for analysis of nonlinear system and their stability criterion 

CO4 
Ability to understand and skill of the Tuning procedure for PID controllers and Designing of Robust control. 

CO5 
Ability to understand the concept, analysis and design of Adaptive and Learning system 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
DIGITAL CONTROL: Introduction to digital control, sampling, Data reconstruction principles, Pulse transfer functions, Block diagram & signal flow graph, Digital Control TechniquesPID, Deadbeat. Time domain analysis, correlation between time response & root location in S & Z transform, effect of polezero configuration in Zplane on maximum overshoot & peak time transient response, Stability in Zplane using modified Rouths criteria, Jury’s criteria. 
10 
CO1 
2 
Digital control system design : Design by Emulation, Direct design by root locus in zplane, Frequency response method, Direct design method by Ragazzini. NON LINEAR CONTROL SYSTEM: Introduction to nonlinear feedback control system, special features of linear system; limit cycle, jump response, sub harmonics etc., describing function and phase plane techniques for analysis of nonlinear system, concept of local, global, asymptotic and total stability of nonlinear system, Liapunov’s stability criterion. 
11 
CO2 CO3 
3 
PID CONTROL AND ROBUST CONTROL: Tuning procedure for PID controllers, modification of PID control schemes, two degrees of freedom control. Design considerations for Robust control. 
8 
CO4 
4 
ADAPTIVE AND LEARNING CONTROL SYSTEMS: Basic Principles of Adaptive and Learning Control Systems, Model Reference Adaptive Control, Types of LearningSupervised and Unsupervised Learning Control Systems, Online and Offline Learning Control Systems. 
8 
CO5 
TEXT BOOKS/ REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII HVDC TRANSMISSION SYSTEM (iv) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
1^{st} year 2^{nd} Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Power Electronics and Power System Engineering 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study the basic concept, working theory and constructional detail of Direct Current (DC) power transmission line. 

2. To study the power converter interface and analysis in HVDC transmission line. 

3. To study the power converter controller in HVDC transmission line 

4. To study the effect of reactor and protection of DC line. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand the basic concept, working theory and constructional detail of Direct Current (DC) power transmission line. 

CO2 
To impart technical knowledge of power converter interface and analysis in HVDC transmission line. 

CO3 
To apprise with power converter control system in HVDC transmission line 

CO4 
To understand the effect of reactor and protection of DC line. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Direct Current (DC) power transmission technology: Introduction, comparison of Alternating Current (AC) and Direct Current (DC) transmission, application of DC transmission, application of DC transmission, description of DC transmission system, Configurations, planning for High Voltage Direct Current (HVDC) transmission, modern trends in DC transmission. Introduction to Device: Thyristor valve, valve tests, recent trends. 
6 
CO1 
2 
Analysis of High Voltage Direct Current (HVDC) converters: Pulse number, choice of converter configuration, simplified analysis of Graetz circuit, converter bridge characteristics, and characteristics of a twelvepulse converter, detailed analysis of converters with and without overlap. 
8 
CO1, CO2 
3 
Converter and HVDC system control: General, principles of DC link control, converter control characteristics, system control hierarchy, firing angle control, current and extinction angle control, starting and stopping of DC link, power control, higher level controllers, telecommunication requirements. Converter faults and protection: Introduction, converter faults, protection against overcurrents, overvoltages in a converter station, surge arresters, protection against overvoltages. 
8 
CO2, CO3 
4 
Smoothing reactor and DC line: Introduction, smoothing reactors, DC line, transient over voltages in DC line, protection of DC line, DC breakers, Monopolar operation, effects of proximity of AC and DC transmission lines. 
6 
CO4 
RECOMMENDED BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII ENERGY MANAGEMENT (v) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 2^{nd}Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Electrical Machine, Electrical Measurements and Instruments 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the various energy systems. 

2. To study the basics theory, and operation of renewable system. 

3. To study the concept ofenergy conservation and management. 

4. To study various techniques for energy conservationand its management. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To familiarize with the various energy systems. 

CO2 
To understand the basics theory, operation renewable system. 

CO3 
To impart basic technical knowledge theenergy conservation system and management. 

CO4 
To learn the role of various techniques used for energy conservationsystem and its management. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
INTRODUCTION: Various Sources of Energy, Conventional and non Conventional energy, Concept and Classification of Renewable energy, Concept of Energy Conservation and Energy Management, Present Energy Scenario in India (Conventional and non Conventional energy). 
7 
CO1 

2 
RENEWABLE ENERGY SOURCES: Potential and Utilization status of Renewable Energy in India, Solar Energy: Solar Water Heater Systems, Solar Air dryer Systems, Solar Photovoltaic Systems, Solar Cookers and Solar ponds, Wind Energy: Selection Criteria for Wind farms, Wind Mills, Bio Gas PlantsConstruction and Operation, Bio Mass Gasification, Bio Mass Briquetting; Mini and Micro Hydel Power Plants, GeoThermal Energy, Ocean Energy. 
8 
CO2 

3 
ENERGY CONSERVATION AND MANAGEMENT: Actual energy requirement assessment techniques of any industry and energy consumption status, possibility of reduction of energy consumption by using various energy conservation techniques or equipments e.g. variable speed drives, constant voltage transformers, electronic chokes, CFLs etc. 
7 
CO3 

4 
ENERGY CONSERVATION INSTRUMENTATION:Importance of instrumentation and control techniques in the energy conservation and management, SCADA systems, Instruments required to carry out energy audit exercise, optimal mixing of renewable energy sources and load rationalization for reducing load on conventional energy sources. 
7 
CO4 

TEXT/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE102 
Course Name: Program ElectiveII PROCESS MODELLING AND CONTROL (vi) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 2^{nd} Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Mathematics, Control System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study the Mathematical Modelling, Process dynamic of various type of processes. 

2. Simulation and Modelling of different process control system 

3. Study of various control system Models and Design of cross controllers and selection of loop using RGA. 

4. Study the concept, analysis and design of Adaptive and Learning system. 

5. Study the concept, analysis and design of Real time control system 

6. Study of Distributed computing systems, Software Process models 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand and to derive Modelling, Process dynamic of various type of processes. 

CO2 
Ability to understand the various control system Models and Design of cross controllers and selection of loop using RGA. 

CO3 
Ability to understand concept, analysis and design of Adaptive and Learning system. 

CO4 
Ability to understand concept, analysis and design of Real time control system 

CO5 
Ability to implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution for industry problems. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Simulation and Modelling: Importance of Simulation, Mathematical Modelling, Process dynamic of fluid flow and heat transfer system, Mass transfer dynamics and distillation column, Reaction kinetics of chemical processes. Process control aim and objectives classification of process control system, techniques for process control. Modelling and simulation for plant Automationcase studies. 
8 
CO1 
2 
Predictive control system: Model based control system (Internal mode control, Model Predictive control and Process Model based control), Plant wide Control, Inferential control, Multipleloop (Multivariable) control system. Interaction and Decoupling of control loops. Design of cross controllers and selection of loop using RGA. Prosperities and application of RGA. 
10 
CO2 
3 
ADAPTIVE AND LEARNING CONTROL SYSTEM: Basic principles of Adaptive and learning systems, MRAC & STAC, Adaptive control techniques, Types of Learning Supervised and Unsupervised Learning control system, Online and Offline Learning control system. 
10 
CO3 CO5 
4 
Real time control system: Characteristics and classes of real time systems, program classification: Sequential, multitasking real time, concurrency and synchronization. Design strategies, Reability, fault detection, fault tolerance real time operating system, Distributed computing systems, Software Process models ( Build and mix model, waterfall, rapid prototyping, Incremental and Spiral model) Design techniques and tools 
10 
CO4 CO5 
TEXT BOOKS:
REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M.Tech.Electrical and Instrumentation Engineering
Course Code: EIPC104 
Course Name: Power Quality Monitoring and Conditioning 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st }Year. 2^{nd }Semester 
Contact hours per week: ( 3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Power System, Electrical Machines 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To familiarize the students about different power quality issues to be resolved. 

2. To understand the convention codes /guidelines issues by bodies like IEEE, IEC etc related to voltage, frequency and harmonics. 

3. To mentor the students about methods of power quality assessment. 

4. To monitor the power quality in the power system. 

5. To model a system for power quality enhancement. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Have the knowledge of various power quality issues in power system. 

CO2 
Work with international standards/guidelines related to power quality issues. 

CO3 
Quantitative analysis of power quality in system. 

CO4 
Monitor the power quality through measurement of various system parameters. 

CO5 
Decide the compensators and filters to keep the power quality indices within the standards. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
Cos 

1 
UNIT I – POWER QUALITY – AN OVERVIEW: Power Quality definition, PQ characterization: Transients, short duration and long duration voltage variations, Voltage imbalance, waveform distortion, Voltage fluctuations, Power frequency variation–Power acceptability curves: CBEMA, ITIC – Sources for Electric Power Quality problem in power system: poor load power factor, Nonlinear and unbalanced loads, DC offset in loads, Notching in load voltage, Disturbance in supply voltage – Power quality standards and Guidelines. 
6 
CO1 

2 
VOLTAGE VARIATIONS: Voltage Sags – Magnitude & durationTypes Sources of sags – Estimation of Voltage sag performance: Transmission system and Utility distribution system, Effect of sag on AC Motor Drives, SinglePhase Domestic and Office Loads, Monitoring and mitigation of voltage sag. Origin of Long & Short interruption influence on various equipment. 
7

CO2 

3 
POWER QUALITY ANALYSIS: Measurements of Voltage, Current, Power, Energy, power factor Time domain methods and Frequency domain methods: Laplace’s, Fourier and Hartley transform – The Walsh Transform – Wavelet Transform. Harmonic Distortion, Voltage versus Current Distortion, Harmonics versus Transients, Harmonic Indexes, Harmonic Sources from Commercial Loads, Harmonic Sources from Industrial Loads. 
7 
CO3 

4 
POWER QUALITY MONITORING: Monitoring considerations: Power line disturbance analyser, power quality measurement equipment, harmonic / spectrum analyser, flicker meters, disturbance analyser. Analysis of power outages, Analysis of unbalance: Symmetrical components of phasor quantities, Instantaneous symmetrical components, Instantaneous real and reactive powers, Analysis of distortion: On–line extraction of fundamental sequence components from measured samples 
8 
CO4 

5 
POWER QUALITY ENHANCEMENT: Harmonic filters: passive, Active and hybrid filters – Custom power devices: Load compensation using DSTATCOM, Voltage regulation using DSTATCOM, protecting sensitive loads using DVR, UPQC –control strategies: PQ theory, Synchronous detection method – Custom power park. 
8 
CO5 

Text Books:
Reference Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC106 
Course Name: PLC & DCS 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 2^{nd} Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Control System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study the concept of Direct Digital Control 

2. Study and development of position and velocity control algorithm and their applications in 3. different control schemes 

4. Study the characteristic function of PLC, its Architecture and various PLC programming languages and Demonstrate various PLC programming skill for industrial applications. 

5. Detail study and applications of Distributed process control system and Understanding of various automotive standards and Protocols used in PLC network and DCS 

6. Study DCS supervisory control techniques & considerations(Algorithms), Concept of field buses and their applications 

7. Detail study and applications of Supervisory control and Data Acquisition system(SCADA) 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand the concept of Direct digital control and able to development position and velocity control algorithm and their applications in different control schemes 

CO2 
Able to learn the various PLC programming languages and Demonstrate various PLC programming skill for industrial applications. 

CO3 
Able to learn and analyze the various principles & concepts of Distributed process control system and Understanding of various automotive standards and Protocols used in PLC network and DCS 

CO4 
Acquire the knowledge of DCS supervisory control techniques, the concept of field buses and their Industrial applications. 

CO5 
To implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution for industry problems. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Direct Digital Control – Structure and Software: The position algorithm (simplifying PID control equation, deriving position algorithm); the velocity algorithm (velocity algorithm, deriving the velocity algorithm); Multi variable control (Cascade control using velocity algorithm, radio control using velocity algorithm). 
8 
CO1 
2 
Discrete State Process Control System: Development and analysis of ladder diagram, logic diagram from ladder diagram, Function description of PLC, Programming fundamentals , hardware and system sizing and selection, PLC peripherals, programming, PLC networking, PLC programmable languages, ladder diagrams language, Boolean mnemonics language, functional block language, PLCs. 
10 
CO2 CO3 
3 
Distributed Process Control System: Functional requirement of DPCS, DCS configurations/ architecture, data highway cables, field buses, protocols used in DCS, Software configuration: controller function configuration, multiplexer and party line system. 
10 
CO3 CO4 CO5 
4 
Supervisory control and Data Acquisition system (Functions of SCADA, channel scanning, conversion to engineering units, data processing, distributed SCADA system, Remote terminal unit). DCS supervisory computer and configurations: supervisory computer function, supervisory control techniques and consideration, Supervisory control algorithm, DCS system integration with PLC and computer. Fiber optic local area networks – map and top. Popular Distributed Control Systems: CP 80 system. 
9 
CO3 CO4 CO5 
TEXT BOOKS/REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC108 
Course Name: Embedded System Design 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
1^{st} Yr. 2^{nd} Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Microprocessor and Microcontrollers 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To provide an overview of Design Principles of Embedded System. 

2. To provide clear understanding about the role of firmware, operating systems in correlation with hardware systems. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Expected to understand the selection procedure of Processors in the Embedded domain. 

CO2 
Design Procedure for Embedded Firmware. 

CO3 
Expected to visualize the role of Real time Operating Systems in Embedded Systems 

CO4 
Expected to evaluate the Correlation between task synchronization and latency issues 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Introduction to Embedded Systems: Definition of Embedded System, Embedded Systems Vs General Computing Systems, History of Embedded Systems, Classification, Major Application Areas, Purpose of Embedded Systems, Characteristics and Quality Attributes of Embedded Systems. 
7 
CO1 
2 
Typical Embedded System: Core of the Embedded System: General Purpose and Domain Specific Processors, ASICs, PLDs, Commercial OffTheShelf Components (COTS), Memory: ROM, RAM, Memory according to the type of Interface, Memory Shadowing, Memory selection for Embedded Systems, Sensors and Actuators, Communication Interface: Onboard and External Communication Interfaces. 
8 
CO1CO2 
3 
Embedded Firmware: Reset Circuit, Brownout Protection Circuit, Oscillator Unit, Real Time Clock, Watchdog Timer, Embedded Firmware Design Approaches and Development Languages. 
7 
CO2 CO3 
4 
RTOS Based Embedded System Design: Operating System Basics, Types of Operating Systems, Tasks, Process and Threads, Multiprocessing and Multitasking, Task Scheduling. 
6 
CO3 
5 
Task Communication: Shared Memory, Message Passing, Remote Procedure Call and Sockets, Task Synchronization: Task Communication/ Synchronization Issues, Task Synchronization Techniques, Device Drivers, How to Choose an RTOS. 
8 
CO3 CO4 
TEXT BOOKS:
REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC110 
Course Name: ADVACED POWER SYSTEM 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
1^{st} year 2^{nd} Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Basics of Power System 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study basics PU theory and modelling of electrical networks. 

2. To study working of theory of load flow parameters and its methods. 

3. To study the transient phenomena and type of faults in power system. 

4. To introduce the concept of transient stability theory and its method. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand the basic concept of PU system for electrical circuits and its modellings. 

CO2 
To impart basic technical knowledge of load flow studies and its iteration solution methods. 

CO3 
To understand and analyze various types of faults for different electrical equipments. 

CO4 
To impart a technical knowledge of transient stability in electrical system and solution of its stability equations. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
SYSTEM MODELLING: System modelling of synchronous machines, transformers, loads etc, per unit system, single line diagram of electrical networks, single phase impedance diagrams. Formulation of impedance and admittance matrices for the electrical networks. 
8 
CO1 

2 
LOAD FLOW STUDIES: Data for the load flow studies, Swing Bus, Formulation of simultaneous equations, Iterative solutions by the GaussSeidal method and Newton Raphson Method. 
8 
CO2 

3 
FAULT ANALYSIS: Transients on transmission line, short circuit of synchronous machine, selection of circuit breakers, Algorithm for short circuit studies, Symmetrical Component transformation, and construction of sequence networks of power systems. Symmetrical Analysis of Unsymmetrical Linetoground (LG), Lineto line (LL), double line to ground (LLG) faults using symmetrical components. 
8 
CO3 

4 
POWER SYSTEM STABILITY: Steady state stability, Dynamics of a synchronous machine, Power angle equations, Transient stability, equal area criterion, Numerical solution of swing equation , factors effecting transient stability. 
8 
CO4 

REFRENCE BOOKS RECOMMENDED:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPRPC 102 
Course Name: Advanced Power System Lab 
L 
T 
P 
C 

0 
0 
3 
1.5 

Year and Semester 
1^{st }Year 2^{nd }Semester 
Contact hours per week: (3 Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Basic of Power System 
Evaluation 

CIE: 20 
SEE:30 

Course Objectives: 

1. To study the various parameters of power system like ABCD, YBus, ZBus. 

2. To learn different methods for load flow analysis. 

3. To learn fault analysis methods 

4. To learn transient stability methods 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To apprise with the various parameters of power system like ABCD, YBus, ZBus. 

CO2 
To develop a technical skill to analyze the load flow in power system 

CO3 
To develop a technical skill to analyze the transient stability of electrical system. 

CO4 
To analyze the performance of the transmission line system. 

Expt. No 
COURSE SYLLABUS 
COs 
CONTENTS OF MODULE 

1 
To compute ABCD parameters and Regulation of a 3Φ transmission line model. 
CO1 CO2 CO3 CO4 
2 
To study Formation of Admittance Matrices (YBUS). 

3 
To study Formation of Impedance Matrices (ZBUS). 

4 
To study Load Flow Analysis using GAUSS SEIDAL Method. 

5 
To study Load Flow Analysis using NEWTONRAPHSON Method. 

6 
To perform Short circuit analysis of 3Φ synchronous machine. 

7 
To study Power circle diagrams of a 3Φ transmission line model. 

8 
To perform Transient Stability Analysis for Single Machine connected to Infinite Bus by Point by Point method. 

9 
To study Load – Frequency Dynamics of Single Area Power Systems. 

10 
To study Load – Frequency Dynamics of Two Area Power Systems. 
——————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPRPC104 
Course Name: Embedded Systems Lab 
L 
T 
P 
C 

– 
– 
3 
1.5 

Year and Semester 
1^{st} Yr. 2^{nd} Semester 
Contact hours per week: (3 Hrs ) Exam: (3 Hrs) 

Prerequisite of course 
Microprocessor and Microcontrollers 
Evaluation 

CIE: 20 
SEE: 30 

Course Objectives: 

1. To provide an overview of Design Principles of Embedded System. 

2. To provide clear understanding about the role of firmware, operating systems in correlation with hardware systems. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Expected to understand the selection procedure of Processors in the Embedded domain. 

CO2 
Design Procedure for Embedded Firmware. 

CO3 
Expected to visualize the role of Real time Operating Systems in Embedded Systems 

CO4 
Expected to evaluate the Correlation between task synchronization and latency issues 

Expt. No 
COURSE SYLLABUS 
COs 
CONTENTS OF MODULE 

1 
Functional Testing Of Devices: Flashing the OS on to the device into a stable functional state by porting desktop environment with necessary packages. 
CO1 CO2 CO3 CO4

2 
Exporting Display On To Other Systems: Making use of available laptop/desktop displays as a display for the device using SSH client & X11 display server. 

3 
GPIO Programming: Programming of available GPIO pins of the corresponding device using native programming language. Interfacing of I/O devices like LED/Switch etc., and testing the functionality. 

4 
Interfacing Chronos eZ430: Chronos device is a programmable texas instruments watch which can be used for multiple purposes like PPT control, Mouse operations etc., Exploit the features of the device by interfacing with devices. 

5 
ON/OFF Control Based On Light Intensity: Using the light sensors, monitor the surrounding light intensity & automatically turn ON/OFF the high intensity LED’s by taking some predefined threshold light intensity value. 

6 
Battery Voltage Range Indicator: Monitor the voltage level of the battery and indicating the same using multiple LED’s (for ex: for 3V battery and 3 LED’s, turn on 3 LED’s for 23V, 2 LED’s for 12V, 1 led for 0.11V & turn off all for 0V) 

7 
Dice Game Simulation: Instead of using the conventional dice, generate a random value similar to dice value and display the same using a 16X2 LCD. A possible extension could be to provide the user with option of selecting single or double dice game. 

8 
Displaying RSS News Feed On Display Interface: Displaying the RSS news feed headlines on a LCD display connected to device. This can be adapted to other websites like twitter or other information websites. Python can be used to acquire data from the internet. 

9 
Porting Openwrt To the Device: Attempt to use the device while connecting to a wifi network using a USB dongle and at the same time providing a wireless access point to the dongle. 

10 
Hosting a website on Board: Building and hosting a simple website (static/dynamic) on the device and make it accessible online. There is a need to install server (eg: Apache) and thereby host the website. 

11 
Webcam Server: Interfacing the regular usb webcam with the device and turn it into fully functional IP webcam & test the functionality. 

12 
FM Transmission: Transforming the device into a regular fm transmitter capable of transmitting audio at desired frequency (generally 88108 Mhz) 


Note: Devices mentioned in the above lists include Arduino, Raspbery Pi, Beaglebone 


Cycle 1: Programming in 8051 

1 
Study of 8051 Evaluation Board Trainer kit and Keil IDE Software Tool. 

2 
Serial Data Transmission 

3 
Interface switches and LEDs 

4 
Interface LCD 

5 
Interface 4*4 matrix keyboard 

6 
Interface stepper motor 

7 
Interface 7 Segment Display using I2C 

8 
ADC, DAC Interface 


Cycle 2: Programming in PIC Processor 

9 
Configure and Control General Purpose I/O Pins 

10 
Interfacing LED & Switch Interface 

11 
2*16 LCD Display 

12 
Serial Communication 

13 
I2C Interface & EEPROM Interface 

14 
Buzzer Interface 

15 
SDMMC Card Interface 

Note: all the experiments are to be carried out independently by each student with different specifications. At least 12 experiments are to be carried out. 
Text Books:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC201 
Course Name: Smart & Micro Sensor Design 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
2^{nd} Yr. 3^{rd} Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
VLSI Design 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

3. It aims to equip the students with MEMS fabrication 

4. To provide adequate knowledge about tools at an intermediate to advanced level. 

5. To provide exposure to students towards advanced level of sensors 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Understand of MEMS fabrication 

CO2 
Apply various fabrication procedures 

CO3 
Analyze the design of sensors 

CO4 
Design and develop smart and intelligent systems 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
MEMS: Introduction, principle of MEMS, Example of Mems, small and large scaling, fabrication technology, micromachining: photolithography, thin film deposition and doping, wet chemical etching, waferbonding, plasma etching, surface micromachining. 
8 
CO1, CO2 
2 
Mechanics of Membrane and beams: dynamics, string, beams, diaphragms and membrane Transduction of Deformation: Metal strain gauges, Semiconductor Strain Gauges, Capacitive Transducers, Force and Pressure sensors: Force Sensors, Pressure sensors, Thermocouples Semi conducting Thermo resistors, Fiber Optical sensors, concept of smart and intelligent sensor, bio sensors. 
8 
CO3,CO4 
3 
Acceleration Sensors: introduction, Bulk Michromachined Accelerometers, surface Michromachined accelerometers, force feedback, angular rate sensors, Flow Sensors: The laminar boundary layer, Heat Transport in the limit of very small Reynolds Numbers, Thermal Flow Sensors, Skin Friction Sensors, Dry fluid Flow Sensors, wet fluid flow sensors, Resonant Sensors: Basic principle and physics. 
8 
CO3 
4 
Definition of intelligence and of intelligent instrumentation system: Features characterizing intelligence and Features intelligent instrumentation, component of intelligent instrumentation. Design of intelligent instrumentation systems. Smart and Intelligent transmitters, smart features standard for smart sensing, setting standards for smart sensors and system, IEEE 1451.1, IEEE 1451.2, STIM, IEEE P1451.3, IEEEP 1451.4, Field buses systems. 
8 
CO4 
Text Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE203 
Course Name: Program ElectiveIII DIGITAL SIGNAL PROCESSING (i) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
2^{nd } year 3^{rd} Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Basic Engineering Mathematics 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study the discrete linear Time Invariant systems in Z domain and in frequency domain. 

2. To study the basic of DiscreteFourier Transform (DFT), Fast Fourier Transform (FFT) algorithms and its application. 

3. To study different structure realization of Finite Impulse Response systems and Finite Impulse Response systems. 

4. To study the digital filters for filtering applications. 

5. To study the Multirate digital Signal Processing techniques and its applications 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To analyze the Discrete linear Time Invariant systems in Z domain and in frequency domain. 

CO2 
To understand the different structure realization of Finite Impulse Response systems and Finite Impulse Response systems. 

CO3 
To learn the basic of DiscreteFourier Transform (DFT), Fast Fourier Transform (FFT) algorithms and its applications. 

CO4 
To Design digital filters for filtering applications. 

CO5 
To apprise with Multirate Signal Processing techniques. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Introduction of Discrete Time Signals and Systems: Discrete time systems, Analysis of discrete time linear timeinvariant systems, Discrete time systems described by difference equations, Implementation of discrete system, Correlation of discrete time signals, Ztransform and properties of Ztransform, Rational Ztransformation, Inverse Ztransform, Analysis of linear time invariant systems in Zdomain. Frequency Analysis of Signals and Systems: Frequency analysis of continuous time signals, Frequency analysis of discrete time signals, Properties of Fourier Transform for discrete time signals, Frequency domain characteristics of linear time invariant systems, linear invariant systems as frequency selective filters. 
8 
CO1 
2 
The Discrete Fourier Transform: Frequency domain sampling, Properties of Discrete Fourier Transform (DFT), discrete Frequency analysis of signals using the DFT.FFT algorithm : Decimationintime (DIT) algorithm and Decimationinfrequency(DIF) algorithm, Linear filtering methods based on DFT. Realization of digital systems: Structure realizations methods of FIR and IIR system. 
8 
CO2, CO3 
3 
Design of Digital Filters: Generalized characteristics of discrete filters, Design of Finite Impulse Response (FIR) filters, FIR digital filter design using Fourier series method, window design techniques. Optimal equiripple design techniques, frequency sampling design techniques. Design of Infinite Impulse Response (IIR) filters from analog filters, Comparison of IIR and FIR filters. 
8 
CO4 
4 
Multirate Digital Signal Processing: Introduction, decimation by a factor D, Interpolation by a factor I, sampling rate conversion by a rational factor I/D, implementation of sampling rate conversion, multistage implementation of sampling rate conversion, sampling rate conversion of Band pass signals, sampling rate conversion by an arbitrary factor, applications of multi rate signal processing. 
8 
CO5 
Suggested Text / Reference Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE203 
Course Name: Program ElectiveIII Reliability Engineering (iii) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
2^{nd} Year 3^{rd} Semester 
Contact hours per week: (3 Hrs ) Exam: (3 hrs.) 

Prerequisite of course 
Basic Engineering Mathematics 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study the basic concept of reliability, maintainability and availability engineering. 

2. To study the evaluation techniques of engineering models and reliability improvement methods. 

3. To study the concept of fault tree analysis and optimization techniques. 

4. To study evaluation model for reliability, maintainability, availability testing. 

5. To study the applications of fuzzy theory and neural networks to reliability engineering, 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To understand the basic concept of reliability, maintainability and availability engineering. 

CO2 
To understand the evaluation techniques of engineering models and reliability improvement methods. 

CO3 
To learn the fault tree analysis and optimization techniques. 

CO4 
Ability to do testing and evaluate the reliability, maintainability, availability of engineering models. 

CO5 
To study the applications of fuzzy theory and neural networks to reliability engineering, 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
Review of basic concepts in reliability engineering, reliability function, different reliability models etc., and reliability evaluation techniques for complex system: Non path set and cutest approaches, path set and cut set approaches, different reliability measures and performance indices, modeling and reliability evaluation of system subjected to common cause failures. 
7 
CO1 

2 
Reliability improvement, Reliability allocation/apportionment and redundancy optimization techniques, Fault tree analysis. 
7 
CO2, CO3 

3 
Maintainability Analysis: measure of system performance, types of maintenance, reliability centered maintenance, reliability and availability evaluation of engineering systems using Markov models. Reliability testing,Design for reliability and maintainability. 
7 
CO1,CO4 

4 
Applications of fuzzy theory and neural networks to reliability engineering,Typical reliability case studies. 
7 
CO5 

Suggested Text / Reference Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE203 
Course Name: Program ElectiveIII, Electrical Vehicle Engineering (iv) 
L 
T 
P 
C 

3 
0 
– 
3 

Year and Semester 
2^{nd} Year 3^{rd} Semester 
Contact hours per week: (3Hrs ) Exam: (3hrs.) 

Prerequisite of course 
Electrical Machines, Power Electronics, Basic Science Engineering 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To introduce the upcoming technology of electric and hybrid system 

2. To study the basics theory, operation and modeling of electric Hybrid system. 

3. To study different topologies of electric Hybrid system 

4. To study electric propulsion system in electric hybrid system 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To familiarize with upcoming technology of electric and hybrid system 

CO2 
To understand the basics theory, operation and modeling of electric Hybrid system. 

CO3 
To understand and analyze different drive train topologies electric of Hybrid system. 

CO4 
To learn the role of electric propulsion system in electric hybrid system andits application. 

CO5 
To impart basic technical knowledge of electric hybrid vehicle system and apply it to technological fields. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
Introduction: Introduction to hybrid electric vehicles: history of hybrid and electric vehicles, social and environmental importance of hybrid and electric vehicles, impact of modern drivetrains on energy supplies. Conventional vehicles: basics of vehicle performance, vehicle power source characterization, transmission characteristics, and mathematical models to describe vehicle performance. 
7 
CO1, CO2 

2 
Hybrid Electric Drive: Hybrid electric drivetrains: basic concept of hybrid traction, introduction to various hybrid drivetrain topologies, power flow control in hybrid drivetrain topologies, fuel efficiency analysis. 
7 
CO3 

3 
Electric Propulsion Unit: Introduction to electric components used in hybrid and electric vehicles, configuration and control of DC motor drives, configuration and control of induction motor drives, configuration and control of permanent magnet motor drives, configuration and control of switch reluctance motor drives, drive system efficiency. 
7 
CO4 

4 
Case Studies: Design of a hybrid electric vehicle (HEV), design of a battery electric vehicle (BEV). 
5 
CO5 

Suggested Text / Reference Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE203 
Course Name: Program Elective III System Theory (v) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
2^{nd} Yr. 3^{rd} Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Control Systems 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. It aims to equip the students with advanced concepts of control 

2. To provide adequate knowledge about tools at an intermediate to advanced level. 

3. To provide students to serve them well towards tackling more advanced level of control systems problems. 

4. To provide knowledge about different aspects like stability, controllability and observability. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Develop various models of control systems 

CO2 
Evaluate controllability of the systems 

CO3 
Evaluate observabilty of the systems 

CO4 
Evaluate stability of the systems 

CO5 
Develop state models of the systems 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Controllability & Observability: Introduction, general concept of controllability, general concept of observability, controllability tests for continuous time systems, observability tests for continuous time systems, controllability & observability for discrete time systems, controllability & observability of state model in Jordan canonical form, loss of controllability & observability due to sampling, controllability & observability canonical forms of state model. 
8 
CO1, CO2, CO3 
2 
State variables and input output descriptions: introduction, input output maps from state models, LTI continuous time systems, LTI discrete time systems, linear time varying systems, output controllability, reducibility, state model from input output maps realization of scalar transfer functions, phase variable canonical forms, realization of transfer function matrices, realization of pulse transfer functions. 
8 
CO1, CO5 
3 
Stability: Introduction, equilibrium points, stability concepts and definitions, stability of linear time invariant systems, equilibrium stability of nonlinear continuous time autonomous systems, direct method of Lyapunov and the linear continuous time autonomous systems, aids to find Lyapunov functions for nonlinear continuous time autonomous systems, use of Lyapunov functions to estimate transients, the direct method of Lyapunov and discrete time autonomous systems.

8 
CO1, CO4 
4 
Model control: Introduction, controllable and observable companion forms for single input/single output systems & multiinput/multioutput systems, the effect of state feedback on controllability & observability, pole placement by state feedback, full order observers, the separation principle, reduced order observers, deadbeat control by state feedback, deadbeat observers. 
8 
CO1, CO5 
Text Books:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
—————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPC203 
Course Name: Program ElectiveIII Intelligent Instrumentation (vi) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
2^{nd} Year. 3^{rd} Semester 
Contact hours per week: (3Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Measurements and Instrumentations 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. Study the concept of intelligent instrumentation system 

2. Study of intelligent instrumentation components 

3. Study the characteristic function of Smart Sensors 

4. Detail study of Standards for smart sensors 

5. Study and development of data acquisition system for smart sensor system 

6. Detail study and applications of Microelectromechanical systems 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
Ability to understand the concept of intelligent instrumentation system 

CO2 
Able to learn characteristic function of Smart Sensors 

CO3 
Acquire the knowledge of Standards for smart sensors and their Industrial applications. 

CO4 
Able to learn and analyze the various principles & concepts of data acquisition system for smart sensor system. 

CO5 
To implement new and emerging technologies to analyze, design, maintain reliable, safe, and cost effective solution Smart sensors development including Microelectromechanical systems 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 
1 
Definition of intelligence and of an intelligent instrumentation system; features characterizing intelligence and features of intelligent instrumentation; components of intelligent instrumentation; Block diagram of an intelligent instrumentation system.

8 
CO1 CO2

2 
Smart Sensors: Primary sensors; Excitation; Amplification; Filters; Converters; Compensation (Nonlinearty: look up table method, polygon interpolation, polynomial interpolation, cubic spline interpolation, Approximation & regression; Noise & interference; Response time; Drift; Crosssensitivity); Information Coding/ Processing; Data Communication; Standards for smart sensor interface; The automation. 
10 
CO2 CO3

3 
Interfacing Instruments & Computers: Basic issues of interfacing; Address decoding; Data transfer control; A/D converter; D/A converter; Other interface considerations. 
10 
CO4

4 
Software Filters (Digital Filters) : Description of Spike Filter, Low pass filter, High pass filter etc. Recent Trends in Sensor Technologies: Introduction; Film sensors (Thick film sensors, Thin film sensors); Semiconductor IC technology –standard methods; Microelectromechanical systems (Micromachining, some application examples); Nanosensors. 
9 
CO4 CO5 
TEXT BOOKS:
REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
————————————————————————————————————————–
Program Name: M. Tech.Electrical and Instrumentation Engineering
Course Code: EIPE203 
Course Name: Program ElectiveIII, INDUSTRIAL POWER ELECTRONICS (vii) 
L 
T 
P 
C 

3 
– 
– 
3 

Year and Semester 
2^{nd} Yr. 3^{rd}Semester 
Contact hours per week: (3 Hrs) Exam: (3 Hrs) 

Prerequisite of course 
Power Electronics 
Evaluation 

CIE: 40 
SEE: 60 

Course Objectives: 

1. To study the basic working theory of different power electrons devices. 

2. To study the control of DC drive with the help of power electrons devices. 

3. To study different industrial application of power electronic devices. 

4. To study the control of AC electric drive with the help of power electrons devices. 

Course Outcomes: On completion of the course, student would be able to: 

CO1 
To apprise with the basic working theory of different power electrons devices. 

CO2 
To understand the control of DC drive with the help of power electrons devices. 

CO3 
To understand different industrial application of power electronic devices. 

CO4 
To understand the control of AC electric drive with the help of power electrons devices. 

Module No 
COURSE SYLLABUS CONTENTS OF MODULE 
Hrs 
COs 

1 
INTRODUCTION: Review of semiconductor power devices (Power diodes, Power Transistors, MOSFETS, IGBT, SCR, GTO, MCT, DIAC, TRAIC, PUT, SUS, SCS), Review of choppers, converters, inverters, cycloconverters. CLOSED LOOP CONTROL OF DC DRIVES: Single Quadrant variable speed drives; Four Quadrant variable speed drives, Armature voltage control at constant field, field weakening, details of various blocks of closed loop drives; drive employing armature reversal by a contractor, drive employing a dual converter with non simultaneous and simultaneous control. 
8 
CO1, CO2 

2 
INDUSTRIAL APPLICATION OF POWER ELECTRONIC DEVICES: Control of electric drives used in manufacturing and process industries, protection of electric drives using solid state devices and controllers, analysis of drive systems. Testing for drive controllers: Design and testing if microprocessor based drive controllers, analysis of solid state control of industrial drives, design and testing of thyristor based controllers for electric drives. 
8 
CO2, CO3 

3 
FREQUENCY CONTROLLED INDUCTION MOTOR DRIVES: Control of IM by VSI3 phase VSI, six step inverter voltage control, PWM inverter, breaking and multiquadrant control, VSI variable frequency drives; control of IM by CSI 3 phase CSI, current sources, Braking, PWM in a thyristor CSI, PWM GTO CSI, CSI variable frequency drives. 
8 
CO4 

4 
SELF CONTROLLED SYNCHRONOUS MOTOR DRIVES: Selfcontrol, brushless &commutator less, DC & AC motors synchronous motor controloperation of a wound field and permanent magnet synchronous motor from a variable frequency current source; source, permanent magnet, operation of a permanent magnet motor at the maximum torque to armature current ratio and at the maximum torque to flux ratio; operation of selfcontrolled synchronous motor drives CSI drives, VSI drives, cycloconverters drives, brushless and commutatorless AC & DC motor drives and their applications. 
8 
CO4 

TEXT BOOKS:
REFERENCE BOOKS:
Note for Examiner(s): Question paper will comprise three sections,
Note for Students:
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(‘A+’ Grade, NAAC Accredited, CategoryI University)
Copyright © 2020 Kurukshetra University, Kurukshetra. All Rights Reserved.