FEEDBACK CONTROL SYSTEMS

24-451 12 Units Fall 2000

 Lecture: Tuesdays and Thursdays 3:00 - 4:20 pm SH 212

 Lab: Fridays 2:30 - 4:20 p.m. HH B301

 Matlab Tutorial URL: http://brie.library.cmu.edu/ctms/
 
Professor Qiao Lin
Office: Scaife Hall 312

Phone: 268-3641
Email: qlin@andrew.cmu.edu
Office hours: Thursdays 4:30-6:30 pm or by appointment
Secretary: Kate McClintock
Office: Scaife Hall 317

Phone: 268-3050
Email: km63@andrew.cmu.edu
TA/Grader: Leanne Crosbie

Phone: 521-7755
Email: crosbie@andrew.cmu.edu.

Purpose

This course is intended to introduce students to concepts and techniques of classical control and to briefly introduce some concepts of modern control and discrete-time. The main goal is to enable students to analyze, design, and synthesize linear control systems. Students will become familiar with analytical methods and will be exposed extensively to the use of computers for analysis and design of control systems.

Objectives

The major objectives of 24-451 are the following:

  1. Be familiar with the inputs, outputs, and components of a control system. Know the difference between open-loop and closed-loop (feedback) control systems and understand the advantages of feedback control.
  2. Understand the utility of Laplace transforms and transfer functions for modeling complex interconnected systems.
  3. Understand the relationship of poles of a transfer function to the stability of a system, and more generally understand the concept of poles and zeros of a transfer function and how they affect the physical behavior of a system.
  4. Understand the role of integral control and generally why more than simple proportional control is often needed in a control system.
  5. Know the effect of sample-rate on the stability of computer controlled (discrete-time) systems, and more generally the fundamental differences between continuous-time and discrete-time control systems.
In addition, by the end of the course, students should be able to do the following:

Text

Control Systems Engineering, third edition, Norman S. Nise, Benjamin Cummings, 2000.

References

Rough Course Plan
The plan largely follows the order in which material is covered in the text. Chapter numbers refer to Nise.

 
  1. Introduction to Control Systems (Chapter 1 -- 1 lecture)
  2. Modeling
    1. Laplace Transforms (Chapter 2 -- 1 lecture)
    2. Modeling of Op-amps and Electric Motors (1 lecture)
    3. State Space Representation (Chapter 3 -- 1 lecture)
    4. Transfer Functions and Block Diagram Algebra (Chapter 5 -- 2 lectures)
  3. Time Response
    1. Rise Time, Settle Time, Overshoot. (Chapter 4 -- 3 lectures)
    2. Stability (Chapter 6 -- 1 lecture)
    3. Steady State Error (Chapter 7 -- 1 lecture)
  4. Root Locus Techniques
    1. Definition, Properties, and Sketching Rules (Chapter 8 -- 2 lectures)
    2. Design via Root Locus (Chapter 9 -- 2 lectures)
  5. Frequency Response Techniques
    1. Bode Plots (Chapter 10 -- 2 lectures)
    2. Design via Frequency Response (Chapter 11 -- 3 lectures)
  6. Introduction to Discrete-Time Control (Chapter 13 -- 4 lectures)
    1. Components of a Computer Control System
    2. Difference Equations and the Z-transform
    3. Basic Discrete-Time Controller Design

Tentative Lab Schedule

 
This course will have a laboratory component. The Lab will meet on certain Fridays 2:30-4:30 p.m. p.m. in the Undergraduate Measurement Lab, Hamerschlag B301.
 
  • Lab 1. Motor Identification
  • Lab 2. Proportional Speed Control
  • Lab 3. Proportional plus Integral Speed Control
  • Lab 4. Motor Speed Control with Lead Compensation and Integral Control
  • Homework Policy
     
    Homework will be assigned every Tuesday and will be due the following Tuesday at the beginning of class. Students are encouraged to discuss assignments, but material submitted for grading must be the product of individual effort.
     
    Quizzes and Exams
     
    There will be two 30-minute quizzes (tentative dates: September 21 and November 16), a midterm exam (tentative date: October 24), and a final exam (in the final exam week).
     
    Grading
     
    Combining homework (30%), quizzes (10%), midterm exam (20%), final exam (20%) and labs (20%), grading will be given on an absolute scale:
     
     85-100 A
     75-84   B
     65-74   C
     55-64   D
     0-54     R