M.Tech (Power and Control)

(To be applicable from July 2013-batch onwards)

 

Semester I

Code

Course Name

L–T-P

Credit

EE 650

Linear Systems Theory

3-0-0

6

EE 581

Modern Power Systems

3-0-0

6

EE 683

Advanced  Power Electronics

3-0-0

6

EE 5/6xx

Elective I

3-0-0

6

EE 5/6xx

Elective II

3-0-0

6

EE 558

Applied Control Lab

0-0-3

3

 

 

15-0-3

33

 

Semester II

Code

Course Name

L-T-P

Credit

EE 551

Optimal and Adaptive Control

3-0-0

6

EE 652

Digital Control

3-0-0

6

EE 580

Control of Electrical Drives

3-0-0

6

EE 5/6xx

Elective III

3-0-0

6

EE 5/6xx

Elective IV

3-0-0

6

EE 654

Advanced Power and Control Lab

0-0-3

3

 

 

15-0-3

33

Semester III

Code

Course Name

L-T-P

Credit

EE 698

Project Phase I

0-0-24

24

Semester IV

Code

Course Name

L-T-P

Credit

EE 699

Project Phase II

0-0-24

24

 

Credits: Course – 66, Project – 48, Total – 114

 

Syllabi for M.Tech (Power and Control)

 

EC 650   Linear System Theory   (3-0-0-6)            

 

Essentials of linear algebra: vector spaces, subspaces, singular value decomposition; state variable modeling of linear dynamical systems; transfer function matrices; Stability theory: Lyapunov theorems; controllability and observability; realization theory: balanced realization, Kalman canonical decomposition; linear state feedback and estimation. Introduction to linear robust control: model uncertainty, model reduction and co-prime factorization; robust stability and robust performance.

 

Texts/References:

 

1. S. Lang, Introduction to Linear Algebra, Springer-Verlag, 2/e, 1997.

2. L. A. Zadeh and C. A. Desoer, Linear System Theory: The State Space Approach, Springer-

    Verlag, 2008.

3. C.T. Chen, Linear System Theory and Design, Oxford University Press, 3/e, 1999.

4. W. Rugh, Linear System Theory, Prentice Hall, 2/e, 1995.

 

 

EE 581                                    Modern Power Systems                    (3-0-0-6)

 

Course Contents:

 

Introduction to modern power system: interconnected power system,  main objective in operation of power system, structure of Indian power system;  Power Component static and dynamic modeling: static modeling of transmission lines, transformer, and capability curve of generator ; Power flow analysis: Gauss-Seidel, Newton-Raphson (polar and rectangular form), decoupled load flow, fast decoupled power flow, DC load flow, Distribution system power flow ; Contingency  analysis: contingency  ranking, DC and AC sensitivity analysis ;  Power system stability: equal area criteria,  rotor angle and voltage stability, energy function approach towards transient stability prediction; Power system Operation and Control: Economic load dispatch, load frequency control.

 

Texts/References:

 

  1. J. J. Grainger and W D. Stevenson, Power System Analysis, Tata McGraw-Hill, 2003.
  2. A. J. Wood and B. F. Wollenberg, Power Generation Operation and Control, John Wiley and Sons, 2nd Edition, 2005.
  3. N. G. Hingorani and L. Gyugyi, Understanding FACTS, Wiley-IEEE Press, 1999.
  4. J. Arrillaga, High voltage direct current transmission, IEE Power Engineering Series, 2nd Edn., 1998.
  5. P. Kundur, Power System Stability and Control, McGraw-Hill, 1995.

 

EC 683 Advanced Power Electronics (3-0-0-6)

 

Preamble

This course will give an comprehensive treatment of different types of power electronics

converters/inverters and of the various PWM techniques. The generalized concepts of

PWM based inverters are treated in the course. This will enable the students to develop

a modulation strategy for any converter topology becomes immediately and do

performance analysis of any particular converter topology and PWM strategy.

 

Course Content

Introduction to power electronics converters, Harmonic distortion, Modulation of one

invert phase leg, Modulation of single phase voltage source inverter, Zero space vector

placement modulation strategies, Modulation of current source inverters, Overmodulation

of inverters, Programmed modulation strategies, Programmed modulation of multilevel

converters, Carrier based modulation strategies, Space vector PWM, Implementation of

modulation controllers.

 

Texts/References:

1. D. Grahame Holmes, Thomas A. Lipo, Pulse Width Modulation for Power Converters:

Principles

and Practice, Wiley-IEEE Press, 1st Edition, 2003.

2. Ned Mohan, Power Electronics: Converters, Applications, and Design, Wiley, 3rd Edition, 2002.

 

 

EC 558   Applied Control Lab          (0-0-3-3)         

 

1. DC Motor Speed Control: Using PLC to control the speed of DC Motor to understand

    the principles of feedback control, PWM and PLC programming.  The objective is to

    study the following:

 

a. Open loop speed control

b. Close loop speed control

c. Use of PLC for the speed control

d. Acceleration and deceleration ramps programming in PLC

e. To Monitor the duty cycle of the motor

 

2. AC Machine Control: The objective will be to study:

 

a. Open loop speed control

b. Close loop speed control

c. Frequency converter and its control

d. Acceleration and deceleration ramps programming in the controller

e. PWM programming

 

3. Process Measurement and Control: The objective of this experiment is to understand:

 

a. Industrial measurements

b. The control systems used in industry

c. The programming techniques of the controller to achieve specific purpose

d. Process supervision through PC

e. Various transducers and sensors used in the industry

 

EC 551            Optimal and Adaptive Control        (3-0-0-6)          [New]

 

Basic mathematical concepts, Conditions for optimality, Calculus of variations, Pontryagin’s maximum principle, Hamilton Jacobi-Bellman theory, dynamic programming, structures and properties of optimal systems, various types of constraints, singular solutions, minimum time problems, optimal tracking control problem

 

Model reference adaptive control, gain scheduling, adaptive internal model control, adaptive variable structure control, adaptive back-stepping design, introduction to system identification, direct and indirect adaptive control.

 

Texts/References:

 

  1. D. E. Kirk, Optimal Control Theory: An Introduction, Prentice-Hall, 2004.
  2. B.D.O. Anderson and J.B. Moore, Optimal Control: Linear Quadratic Methods, 2007.
  3. M. Krstic, P. V. Kokotovic, I. Kanellakopoulos, Nonlinear and Adaptive Control Design, John Willey and Sons, 1995.
  4. K. J. Astrom and B. Wittenmark, Adaptive Control, 2/e, 2008.
  5. G. Feng and R. Lozano, Adaptive Control Systems, Oxford University Press, 1999.

 

EC 652                        Digital Control                                               (3-0-0-6)         

 

Discrete-time system representations: modeling discrete-time systems by linear difference equations and pulse transfer functions, time responses of discrete systems; discrete state-space models, stability of discrete-time systems. Finite settling-time control design: deadbeat systems, inter sample behavior, time-domain approach to ripple-free controllers, limitations and extensions of the deadbeat controller. State-feedback design techniques: linear system properties, state feedback using Ackermann's formula, tracking of known reference inputs. Output-feedback design techniques: observer design , observer-based output feedback design.

Texts/References:

 

1.  B. C. Kuo,  Digital Control Systems; Oxford University Press, 2/e, Indian Edition, 2007.

1.2.  K. Ogata, Discrete Time Control Systems; Prentice Hall, 2/e, 1995.

3.  M. Gopal, Digital Control and State Variable Methods; Tata Mcgraw Hill, 2/e, 2003.

4.  G. F. Franklin, J. D. Powell and M. L. Workman; Digital Control of Dynamic Systems;

     Addison Wesley, 1998, Pearson Education, Asia, 3/e, 2000.

5.  K. J. Astroms and B. Wittenmark, Computer Controlled Systems - Theory and Design;

     Prentice Hall, 3/e, 1997.

 

EC 580    Control of Electrical Drives (3-0-0-6)   

 

Mode ling of DC Machines, Phase Controlled DC Motor Drives, Chopper Controlled DC Motor Drives, Modeling of Polyphase Induction Machines, Phase Controlled Motor Drives, Frequency Controlled Induction Motor Drives, Vector Controlled Induction Motor Drives, Permanent Magnet Synchronous and Brushless DC Motor Drive Modeling and Control.

 

 

Texts/References:

 

1. R. Krishnan, Electric Motor Drives: Modeling, Analysis and Control, Prentice Hall, 2002.

           

2. Mohamed El-Sharkawi, Fundamentals of Electric Drive, CL-Engineering, 1st Edition, 2000.

 

 

EE 654 Advanced Power and Control Laboratory (0-0-3-3)

Preamble:

Recently, much effort has been paid to the development of high performance drives,

power flow controllers and power conditioner. These drives, power flow controllers and

power conditioner require advanced and sophisticated control techniques to improve

their performances. The experiments of this laboratory cover the practical issues

related with the design of controllers for the above applications.

 

Course contents:

Study of 3-phase inverter, Study of 3-phase rectifier, Control of buck-boost converter,

Position control of servo-motor, Speed control of 3-phase AC motor, Speed and

position control of stepper motor, Load flow analysis with power flow control using

series compensation, Control of power flow using back-to- back converter, Effect of

SVC (Static Var Compensator) in controlling the bus voltage, Synchronization of

alternators.

 

Texts/References:

1. C. S. Indulkar, Laboratory Experiments in Electrical Power Engineering, Khanna Publishers,

1st Edn., 2003.

2. G. K Dubey, Fundamentals of Electrical Drives, Narosa Publishing House, 2nd Edn., 2002.

3. O. P. Arora, Power Electronics Laboratory: Theory, Practice & Organization, Narosa

Publishing House, 1st Edn, 2007.

4. P. Kundur, Power System Stability and Control, McGraw-Hill, 1st Edn., 1994.

 

 

LIST OF ELECTIVES FOR MTECH (POWER AND CONTROL)

 

Electives

Code

Course Name

L–T-P

Credit

EE 562

Fundamentals of VLSI CAD

3-0-0

6

EE 621

Advanced Topics in Random Processes

3-0-0

6

EE 623

Advanced Topics in Signal Processing

3-0-0

6

EE 624

Image Processing

3-0-0

6

EE 625

Computer Vision

3-0-0

6

EE 626

Biomedical Signal Processing

3-0-0

6

EE 627

Speech Signal Processing and Coding

3-0-0

6

EE 628

Speech Technology

3-0-0

6

EE 632

Mobile Communications

3-0-0

6

EE 633

Queuing Systems

3-0-0

6

EE 635

Advanced Topics in Communication Systems

3-0-0

6

EE 636

Detection and Estimation Theory

3-0-0

6

EE 637

Error Control Codes

3-0-0

6

EE 638

Multimedia Security: Methodologies for Content Access Control, Tracking and Authentication

3-0-0

6

EE 639

Sparse Representations & Compressive Sensing: Theory & Applications

3-0-0

6

 

EE 651

Multivariable Control Theory

3-0-0

6

 

EE 653

Nonlinear  Systems and  Control

3-0-0

6

 

EE 657

Pattern Recognition and Machine Learning

3-0-0

6

 

EE 659

Modeling and Simulation of Dynamic Systems

3-0-0

6

 

EE 672

Intelligent Sensor and Actuator

3-0-0

6

 

EE 673

Synchrophasor  Technology

3-0-0

6

 

EE 674

High Voltage Transmission

3-0-0

6

 

EE 680

Electric and Hybrid vehicles

3-0-0

6

 

EE 682

Advanced Electric Drives

3-0-0

6

 

EE 684

Numerical Methods in Electromagnetics

3-0-0

6

 

EE 685

Generalized Theory of Electrical Machines

3-0-0

6

 

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