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Nov 15, 2013 (3 years and 6 months ago)

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Place: Inhouse

SYLLABUS

Duration:

30 Days (2 hours/Day)

Organization of content: 60% Lecture, 40% Lab

Prerequisite (Mandatory)
:

Students are expected to have knowledge of control system and its basic concepts such as transfer function, state
space system,
and stability analysis that are used in the description and analysis of control system.



Target audience:

This course is intended for undergraduates of Electrical Engineering and Electronics and Communication Engineering
and the students willing to explore their knowledge with the help of Matlab.



Course objective:

At the end of this course, students will be
able to:



Course overview:


Introduction to feedback control systems. Examples of feedback control, block diagrams, analytical techniques
(Laplace
-
transform, state space methods), stability evaluation (Routh Hurwitz criteria, root
-
locus, Nyquist plot, Bod
e
plot) Performance evaluation (criteria, evaluation methods).Extensively using Matlab/Simulink.



Course content:

1.


Familiarization with Matlab and Matlab Control System Toolbox.

2.


Transfer functions.

3.


Time domain analysis and steady st
ate errors.

4.


Proportional Integral Derivative Control.

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5.


Stability analysis

a.


Definitions

b.


Linear systems,

c.


Routh
-
Hurwitz algorithms

d.


Bode plots and Nyquist plots

e.


Stability margins,

f.


Nichols chart

6.


State Space analysis
-

Controllability, Observability and system gain

a.


Vector
-
matrix representation of differential equations

b.


Transition matrix and resolvent

c.


Transfer functions,

d.


Matlab tools

7.


Pole placement a
nd Root locus

8.


Compensation design using Lag, Lead compensators

9.


Compensators using Lead


Lag approaches

10.


Models of Practical systems like electric Power System

11.



Familiarization of digital Control System Analysis

12.



Analysis of s
tability in digital domain.

13.


Introduction to Discrete
-
Time Control Systems.

14.


The z Transform.

15.



Z
-
Plane analysis of Discrete
-
Time Systems.

16.


Design of Discrete
-
Time Control Systems by Conventional Methods.

17.


Quadratic Optimal Control.

1.

Ana
lyze

discrete
-
time control systems using the z
-
domain approach and the state space approach

2.

Design

discrete
-
time control systems

3.

Design

quadratic optimal discrete
-
time control systems