ENEE 478  Sampled Data and Nonlinear Control Systems (3)

 

Required course for majors in the electrical specialty.

 

Catalog Description

Analysis and design of automatic control systems operating on discontinuous data and depending on either incremental or sampled continuous processes.  Consideration of nonlinear systems analysis and design.  Design project. Fall semester.  Lecture 3 hours.

 

Prerequisite:

ENEE 373 with grade of  C or better

 

Text book

Discrete-Time Control Systems, Katsuhiko Ogata, 2nd Ed., Prentice-Hall, 1994.

 

Course Objectives: (numbers in brackets indicate the relationship to engineering program outcomes)

The purpose of this course is conceptual understanding of and learning of techniques for the analysis and design

of sampled-data control systems (1,2).  The emphasis will be on state-space methods (1,2).

 

Class/laboratory schedule:

Lecture either three times per week at 50 minutes per class, or two times per week at 75 minutes per class.

 

Topical Outlines

Week                               Topic

1                                   A/D-D/A conversion

2                                   Z-Transforms

3                                   Sampling

4                                   Discrete convolution

5                                   Pulse transfer functions

6                                   Discrete-time state space

7                                   Liapunov stability

8                                   Controllability/Observability

9                                   Pole Placement

10                                State observers

11                                Servo systems

12                                Stability analysis

13                                Response  analyis

14                                Root locus analysis

15                                Root locus design

 

Contribution to Professional Component:

Contributes toward the 1.5 years of engineering topics as a 3 credit hour course in engineering sciences.

 

Relationship of course to program outcomes

This course supports engineering outcomes 1 and 2.

 

Prepared by:  Dr. Cliff Parten