EE 571 - FEEDBACK CONTROL DESIGN
CATALOG DATA:
EE 571 -
Feedback Control Design: 3 Credits
System
representation via transfer function and state variables, root locus analysis;
Bode plots; compensation by root-locus and frequency response methods; state
variable feedback; sensitivity analysis; tracking via output feedback; digital
control systems. Prereq: EE 421G and engineering standing.
TEXTBOOK:
Modern Control
Engineering, 9th ed. by Dorf and Bishop
2003, Student Edition of Matlab, R13 Mathworks:2003 (recommended)
COORDINATOR:
Dr. Bruce L.
Walcott, Associate Professor of Electrical Engineering
PREREQUISITES BY TOPIC:
1.
State variable analysis of analog systems.
2.
Signal representation and time domain analysis
3.
Fourier and Laplace transform
analysis.
GOALS:
This course is
designed to give juniors and seniors in electrical engineering a fundamental
understanding of the theory and design of modern and classical feedback control
systems.
TOPICS:
1.
System Representation
2.
Design of Modern Regulators, Controllers, Observers
3.
System Characterization
4.
Root Locus
5.
Compensator Design via RootLocus
6.
Frequency Response
7.
Compensator Design via Frequency Response Methods
8.
Sensitivity Analysis
OUTCOMES:
The following
competencies should be imparted to the students:
1.
Ability to reduce functional block diagrams into state
space or frequency domain models
2.
Ability to analyze these models using time domain and
frequency domain techniques
3.
Ability to simulate and realize models, controllers, and
compensators using MATLAB or analog electronics.
4.
Ability to obtain block diagrams of real-world dynamic
systems using time response, frequency response, and steady-state DC methods.
5.
Ability to design continuous state feedback regulation,
tracking, and estimation schemes for continuous time MIMO systems as well as
ability to design analog compensators for SISO systems based upon root-locus
and frequency methods.
COMPUTER USAGE:
There are
approximately 11 Homework assignments requiring the use of MATLAB on the
student'' preferred platform (PCs or Workstations). These assignments deal with
topics I, II, IV, V, VI and VII. In addition, the in
Lab experiments are performed on a PC with D/A and A/D
capabilities.
LABORATORY PROJECTS:
There are seven
in-lab experiments which the students are required to perform. These cover
topics I, II, V, VI, VII, and VIII.
DESIGN CONTENT:
Of the seven
real-world experiments which the students are required to perform, Experiments
#3, #4, #5, and #7 each have heavy design content. The objectives for these
functions are listed below:
Exp. #3
(Objective) - To design a Feedback Regulator and Controller for a D.C. Servo
Exp. #4 (Objective)
- To design a Full-order Observer for a D.C. Servo
Exp. #5
(Objective) - To design classical, root-locus based compensators for a D.C.
Servo
Exp. #7 (Objective) - To physically understand the meaning of gain and
phase margins and to design lead and lag compensators to meet frequency
response specs.
Also, many of
the homework problems have paper/computer designs for models of physical
systems.
CLASS SCHEDULE:
Lecture 3 hours
per week.
PROFESSIONAL CONTRIBUTION:
Engineering
Design: 1 credits or 33%
Engineering
Science: 2 credits or 67%
RELATION OF COURSE TO PROGRAM OUTCOMES:
These course
outcomes fulfill the following Program Outcomes:
(b) An ability to design and conduct
experiments, as well as to analyze and interpret data.
(c) An ability to
design a system, component, or process to meet desired needs.
(e) An ability to identify, formulate,
and solve engineering problems.
(g) An ability to communicate effectively.
(k) An ability to
use the techniques, skills, and modern engineering tools necessary for
engineering practice.
(l)
depth of knowledge in at least one area
(m)
knowledge of probability and statistics, including
applications to electrical and computer systems
(n)
knowledge of mathematics through differential and
integral calculus
(o)
knowledge of basic sciences, computer science, and
engineering sciences necessary to analyze and design complex electrical and
electronic devices, software, and systems containing hardware and software
components
(p)
knowledge of advanced
mathematics, linear algebra, complex variables, and discrete mathematics.
(q) knowledge of
advanced mathematics, linear algebra, complex variables, and discrete
mathematics.
Prepared By: B.L. Walcott Date