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EE
352
Title:
SYSTEM DYNAMICS AND CONTROL
Credits: 3
Catalog Description: Analysis of linear control systems by differential
equations and transfer function methods using Laplace transforms.
Stability of closed loop systems. Routh-Hurwitz criterion, root-locus
diagrams. System analysis in frequency domain. Bode, polar plots and
Nichols charts. Nyquist stability criterion. Introduction to design and
optimization of linear control systems, compensation techniques.
Prerequisites: MATH 202, EE 201.
Coordinators:
Kadri Özçaldıran, Professor of Electrical Engineering and Andon
Toplalov, Visiting Associate Professor of Electrical Engineering
Goals: To
teach to and to enable the students to apply basic mathematical concepts
and methods for analysis, design and simulation of linear automatic
control systems.
Learning
Objectives:
At the end of this course, students will be able to:
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Find
mathematical models of dynamic systems.
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Analize
linear dynamic systems using transient and steady-state response
analysis
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Analize
dynamic systems using their frequency response.
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Apply
root-locus analysis of control systems.
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Analyze
stability of dynamic systems by using Routh-Hurwitz or Nyquist
stability criteria.
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Understand
fundamental concepts in
design and optimization of linear control
systems, compensation techniques.
Textbook:
K. Ogata, Modern Control
Engineering, Fourth Edition, Prentice-Hall,
2002.
Reference
Texts:
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G.F.
Franklin, J.D. Powell, A. Emami-Naeini,
Feedback
Control of Dynamic Systems, Prentice-Hall, 2002.
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P.J. Dorf,
Modern Control Systems,
Addison-Wesley, 1989.
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J. Golten
and A. Verwer, Control System
Design and Simulation, McGraw-Hill, 1991.
Prerequisites
by Topic:
-
Ordinary differential
equations
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Vector-matrix
analysis
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Circuit analisis
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Mechanics
Topics:
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An
introduction to control systems. (1 week)
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Modelling
of dynamic systems. (3 weeks)
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System
time response . (3 weeks)
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Root-locus
analysis of control systems. (2 weeks)
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Frequency
response analysis. (2 weeks)
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Frequency
domain compensator design (2 weeks).
Course
Structure: The class meets for two lectures a week, one consisting
of a 50-minute session and the second consisting of two 50-minute
sessions. 3 sets of homework problems are assigned per semester.
There are two in-class mid-term exams and a final exam.
Computer
Resources: Students are encouraged to use MATLAB to solve their
homework problems.
Laboratory
Resources: None.
Grading:
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Homework
sets (10%)
-
Two
mid-term exams (25% each).
-
A final
exam (40%).
Outcome
Coverage:
-
Apply
math, science and engineering knowledge. The course is about control
systems modeling, design and simulation.
It makes use of different tools from mathematics (ordinary
differential equations, linear algebra, complex variables, vector-matrix
analysis) as well as from sciences (physics) and engineering (mechanics,
circuit analysis).
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Design
a system, component or process to meet desired needs. Students are
introduced to the fundamental concepts of control systems design. In
particular, design of lead, lag, and lead-lag compensators with the
root-locus method and design and compensation techniques using
frequency-response methods are covered.
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Use
of modern engineering tools. Students use MATLAB and a number of
MATLAB packages (like Control Toolbox, Simulink) for their homework
assignments.
Prepared By: Kadri Özçaldıran and Andon Topalov
Last
Revised:
May 17, 2003
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