<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN"><!--Converted with LaTeX2HTML 96.1-h (September 30, 1996) by Nikos Drakos (nikos@cbl.leeds.ac.uk), CBLU, University of Leeds -->COURSE TITLE: ECE 360 Introduction to Feedback Systems

 

CATALOG DESCRIPTION:  Linear feedback control systems, their physical behavior, dynamical analysis, and stability.  Laplace transform, frequency spectrum, and root locus methods.  System design and compensation using PID and lead-lag controllers.  Digital implementations of analog controllers.

 

REQUIRED TEXTS: Franklin, Powell, and Emami-Naeini, Feedback Control of Dynamic Systems, Prentice Hall, Fourth edition, 2002.

 

REFERENCE TEXTS: None

 

COURSE COORDINATOR:  Randy Freeman

 

COURSE GOALS: Students learn how the use of feedback can significantly alter the dynamic behavior of a system.  They learn how to design feedback systems to meet a set of performance criteria.  In the laboratory projects, they gain experience in designing controllers for a real physical system.

 

PREREQUISITES: ECE 222 or equivalent

 

PREREQUISITES BY TOPIC:

1.      Transfer functions of linear time-invariant systems, poles and zeros, Laplace and Z transforms (HW Set #1)

2.      Fourier transforms and Bode plots

 

DETAILED COURSE TOPICS

 

WEEK 1: anatomy of a feedback system (plant, controller, sensors, actuators, command and reference inputs, noise and disturbance inputs), advantages of feedback (sensitivity reduction, disturbance rejection, stabilization, performance improvement) linear models of physical systems. Chapter 1

 

WEEK 2: linear models of physical systems, converting o.d.e.'s to transfer functions, block diagram manipulations.  Chapter 3 (3.1-3.2)

 

WEEK 3: stability and the final value theorem, steady-state analysis, tracking error reduction via proportional control, step response of first- and second-order systems (time constant, natural and damped frequency, damping ratio).  Chapter 3 (3.3)

 

WEEK 4: design specifications vs. pole/zero locations (overshoot, rise time, settling time).  Chapter 3 (3.4-3.5)

 

WEEK 5: PID control, integrator windup, tracking and system type.  Chapter 4

 

WEEK 6: Routh-Hurwitz stability criterion and root locus diagrams.  Chapter 3 (3.6) and Chapter 5

 

WEEK 7: root locus controller design methods (proportional and lead/lag controllers).  Chapter 5 (5.5)

 

WEEK 8: Nyquist stability criterion, Bode plots, gain/phase margins, bandwidth, crossover frequency, minimum-phase systems and Bode's gain/phase relationship.  Chapter 6

 

WEEK 9: frequency domain controller design methods (proportional and lead/lag controllers), sensitivity/complementary sensitivity.  Chapter 6 (6.7)

 

WEEK 10: digital implementations of analog controllers (impulse/step/ramp invariant approximations, Tustin/bilinear approximations, matched pole-zero approximations).  Chapter 8 (8.3)

 

COMPUTER USAGE: Matlab

 

LABORATORY PROJECTS: seven lab sessions introduce students to control system simulation as well as the real-time control of an electro-mechanical system.

 

Lab 1: Introduction to the New C60 Laboratory.  Appendix A: Model of Torsional Disk System

Lab 2: Introduction to Digital Simulations

Lab3: Introduction to the Control of the Torsional Disk System.  Appendix B: ECP Executive Software.  Appendix C: ECP Safety Precautions

Lab 4: PD Control

Lab 5: PID Control

Lab 6: Root Locus Design

Lab 7: Frequency Response of the Disk System

 

GRADES:

Homework - 10%

Labs - 30%

Midterm - 25%

Final - 35%

 

COURSE OBJECTIVES: When a student completes this course, s/he should be able to:

1.      derive closed-loop transfer functions from block diagrams of interconnected subsystems. (HW Set #2)

2.      derive time-domain response characteristics and translate time-domain design specifications into frequency-domain design objectives. (HW Sets #3 and #4)

3.      analyze system stability using Routh-Hurwitz approach.  (HW Set #5)

4.      use root locus (HW Set #6), Nyquist, and Bode  (HW Set #8) techniques to design PID (HW Set #7) and lead/lag (HW Set #9) controllers; analyze resulting closed-loop systems. controllers.

 

ABET CONTENT CATEGORY:  100% Engineering (Design component).