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Unformatted text preview: MAE 171A: Dynamic Systems Control Lecture 1: Introduction Goele Pipeleers Course Info Course Description: introduction to feedback principles, control systems design, and system stability; modeling of physical systems in engineering and other fields; transform methods; controller design using Nyquist, Bode, and root locus methods; compensation; computeraided analysis and design Prerequisites: • MA 107 Introduction to Modeling and Analysis of Dynamic Systems, or EE 102 Systems and Signals • MA 181A Complex Analysis and Integral Transforms, or MA 182A Mathematics of Engineering Class homepage: https://courseweb.seas.ucla.edu 1 Instructor: Goele Pipeleers office: 37310 Engineering IV office hours: Friday 8:00am – 9:00am email: [email protected] Lectures: Monday and Wednesday, 11:30am – 2:00pm discussion: Tuesday, 2:30pm – 4:50pm Textbook: Feedback Control of Dynamic Systems G.F. Franklin, J.D. Powell and A. EmamiNaeini 6th Edition, Prentice Hall, 2010 2 Homework: • approximately one assignment per week, posted on the courseweb • due by in approximately one week from the date of assignment • late homework will not be graded Exams: (dates subject to change) • midterm exam: July 18, 11:3014:00 • final exam: August 10, 11:3014:00 Grades: • homeworks: 15% • midterm exam: 35% • final exam: 50% 3 Overview of This Lecture • systems theory versus control theory • control applications • review on the Laplace and Fourier transform 4 Systems Theory versus Control Theory Systems Theory • modeling: derivation of a representation of the system – defining the system accelerator angle input signal u car velocity output signal y 5 – deriving a physical model accelerator angle input signal u car velocity output signal y m c F y A F engine car body – deriving a mathematical model (differential equation) accelerator angle input signal u car velocity output signal y A F engine car body F = m ˙ y + cy 6 • analysis: how does the system behave? – dynamic response accelerator angle input signal u car velocity output signal y u t y t • what to do in case of an unsatisfactory response? – adapt the system parameters, i.e.: improve the system design – regulate or control the system : get the best out of it 7 • analysis: how does the system behave? – dynamic response accelerator angle input signal u car velocity output signal y u t y t • what to do in case of an unsatisfactory response?...
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This note was uploaded on 08/08/2011 for the course MAE 171 taught by Professor Pipeleers during the Summer '11 term at UCLA.
 Summer '11
 Pipeleers

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