EE420Fall2019 courseoutline PDF

Preview

Summary

Syllabus...

Description

Fall 2019 EE 420 – Feedback Control Systems Instructor Dr. R. Lal Tummala E 412 Engineering Building Email: [email protected]

Lecture Room and Time COMM 207 MW 15:30-16:45 Prerequisite: EE 410

Recommended Text Norman S. Nise “Control Systems Engineering “, Eighth Edition, John Wiley &Sons Inc.

Office Hours: MW 1300-14:00 Other times by appointment Course Objectives 1. To introduce the concept of feedback control 2. To develop skills for analyzing feedback control systems 3. To provide working knowledge of the linear feedback system design A detailed learning objectives for this course is also attached

Grading Policy The grades are assigned on a straight scale. However grades may be curved upward to the student’s advantage based on the performance of the class. Grades are based on the following: Hour Exams (2) 200 points Final Exam 200 points Homework (including design) 100 points Quizzes 100 points (Exam schedule is on the next page)

Homework and Examination Policy Homework is due in class. Late homework will not be accepted.

Doctor’s certificate is required for a makeup exam. Make up exam, is different than the examination given in the class during the scheduled time.

Examination Schedule: Hour Examination #1: Hour Examination # 2: Final Examination:

September 30, 2019 November 4, 2019 Monday, December 18, 2019 : 1300-1500

General Policies Examinations will be generally closed book and notes, emphasizing basic concepts and problem solving. Reference tables and key formulas will be provided when appropriate. Score will reflect partial credit when correct methods are applied to the problem. Each student will be viewed as a future professional in engineering and highest ethical standards are presumed. Cheating will be dealt with harshly. It is expected that the student present his/her own work.

Computer Software MATLAB and SIMULINK with Control Systems Tool box – used for simulation, analysis and design.

Tentative Course Outline Topic Introduction Models and Linear Approximations Review of Laplace Transforms Transfer functions Block Diagram Models Signal Flow graph Models Sensitivity of feedback control systems Transient Performance Steady State performance Effect of Disturbances/Noise Stability Root Locus Method Root Locus Design Frequency Response Methods Performance using frequency Response Frequency Response Design

Chapter in Text 1 2.11 2.2 2.3 5.2 5.4 Notes 4 7 Notes 6 8 9 10 10 11 and notes

Learning objectives This course provides engineering students who are CPE and EE majors the opportunity to develop skills for analyzing and designing feedback control systems using transfer functions. After completing the course successfully, the student should be able to do the following:                        

Explain the difference between open loop and closed-loop control systems. Understand the concept of transfer function. Develop transfer function models necessary for linear feedback control systems. Be able to simplify block diagrams consisting of several transfer functions connected in various ways. Understand the concept of signal flow graphs. Determine the transfer functions of feedback control systems using signal flow graphs and Mason’s rule. Define sensitivity Compute the sensitivity of the system to parameter variations. Be able to analyze the feedback control systems for stability. Be able to determine the time - domain performance of the system in terms of: 1) percent overshoot; 2) Settling time; 3) Rise time; 4) time constant; 5) delay time. Explain the relationship between the location of the poles of the second order system and the Time domain Performance given above. Explain the relationship between the location of the poles of the second order system to the damping ratio and the natural frequency of the system. Study stability of feedback systems using Routh-Hurwitz criterion Explain the concept of dominant eigenvalues. Analyze feedback systems using root-locus method. Define frequency response and frequency response function Be able to plot the frequency response (Bode) of transfer functions. Determine stability using Nyquist and Bode plots. Determine gain and phase margins from the frequency response plots. Determine Bandwidth, noise rejection capability, resonance frequency and resonance peak using closed-loop frequency response data Estimate the above parameters for second order systems from the damping ratio and the natural frequency. Estimate the time domain performance from the open-loop frequency data. Design of cascade compensators such as Phase lead, Phase lag, Lead -Lag, and PID. Be able to use MATLAB for the analysis and design of feedback control systems....