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