AE483 Automatic Control Systems II

Course Description:
State equations, eigenvalues, eigenvectors, stability, controllability, observability; state space approach to control system design, state variable feedback, eigenstructure assignment, state observation, model following control, introduction to optimal c ontrol, linear quadratic regulator.

Prerequisite(s):
AE384 Automatic Control Systems I

Textbook(s) and/or Other Required Material:
None

The following books are the excellent sources of reference.
1. F.L. Lewis, Applied Optimal Control - Digital Design and Implementation, Prentice Hall, 1992
2. Dorf, R.C., Modern Control Systems, Addison Wesley, Reading, Mass., 1986
3. Takahashi, Y., et.al., Control and Dynamic Systems, Addison Wesley, Reading Mass, 1972
4. D'Azzo, J.J., Houpis, C.H., Linear Control Systems Analysis and Design, Mc-Graw Hill, N.Y., 1988.
5. Kailath, T., Linear Systems, Prentice-Hall, Englewood Cliffs, N.J., 1984.
6. Astrom, K.J., Wittenmark, B., Computer Controlled Systems, Theory and Design, Prentice Hall, N.J., 1984.
7. Franklin, G.F., Powell, D.J., Digital Control Systems, Theory and Design, Addison Wesley, Mass., 1980.
8. Kwakernaak, H., Sivan, R., Linear Optimal Control Systems, John Wiley, N.Y., 1972
9. Landau, Y.D., Adaptive Control, The Model Reference Approach, Marcel Dekker, N.Y., 1979.

Course Objectives:
To give the student a working knowledge in state space approach to control system design and understanding of the basic ideas behind the implementation of computer controlled systems.

Topics Covered:
1. Introduction - 1/2 week
2. Mathematical Background - 3 weeks
3. State space approach to control system design - 4 weeks
4. Introduction to optimal control - 2 weeks
5. Linear Quadratic Regulator - 3 1/2 weeks

Homework, Quizzes and Projects:
Homework assignments are made regularly. Additionally each student will be required to complete a term project on the design of an automatic control system. Grading is based on exams, homework, lab reports, and term project.

Computer Usage: Some homework assignments require the use of Mathlab and Simulink software.
Laboratory Work: The following topics are addressed in the laboratory work
- Lecture on using Matlab
- Classical design techniques via Matlab
- Lecture on Simulink and experimentation in the computing lab
- MIMO system simulation : Aircraft dynamics
- Sensors in control systems: Gyroscope, accelerometer, LDTV, RTDV, tachometer
- Sensor transfer function derivation
- DC motor speed and position control
- Hydraulic servo-valve example
- Effect of time delay on control systems

Contribution of Course to Meeting the Professional Component:
Mathematics and Basic Sciences: None
Engineering Design: None
Engineering Sciences: 3 credits
Humanities and Social Sciences: None

Relationship of Course to Program Objectives:
The course intends to satisfy all the objectives of the Department of Aerospace Engineering.

Prepared By:
Ozan Tekinalp
11-26-1999