ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1,

Slides:



Advertisements
Similar presentations
Stability Margins Professor Walter W. Olson
Advertisements

Chapter 4 Modelling and Analysis for Process Control
Sensorimotor Transformations Maurice J. Chacron and Kathleen E. Cullen.
Loop Shaping Professor Walter W. Olson
CHE 185 – PROCESS CONTROL AND DYNAMICS
EE-2027 SaS 06-07, L11 1/12 Lecture 11: Fourier Transform Properties and Examples 3. Basis functions (3 lectures): Concept of basis function. Fourier series.
Control System Design Based on Frequency Response Analysis
Truck suspensions.
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Chapter Summer 2. Comparator 3. Block Blocks in Series
EE-2027 SaS, L15 1/15 Lecture 15: Continuous-Time Transfer Functions 6 Transfer Function of Continuous-Time Systems (3 lectures): Transfer function, frequency.
Lecture 14: Laplace Transform Properties
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
SIMULINK Dr. Samir Al-Amer. SIMULINK SIMULINK is a power simulation program that comes with MATLAB Used to simulate wide range of dynamical systems To.
Chapter 3 1 Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous.
Types of systems in the Laplace domain. System order Most systems that we will be dealing with can be characterised as first or second order systems.
Page 1 Lecture 13 AO Control Theory Claire Max with many thanks to Don Gavel and Don Wiberg UC Santa Cruz February 19, 2013.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: First-Order Second-Order N th -Order Computation of the Output Signal.
ISAT 412 -Dynamic Control of Energy Systems (Fall 2005)
Laplace Transform BIOE 4200.
Autumn 2008 EEE8013 Revision lecture 1 Ordinary Differential Equations.
1 Chapter 2 We need to write differential equations representing the system or subsystem. Then write the Laplace transform of the system. Then we will.
Ch. 6 Single Variable Control
Transfer Functions Chapter 4
Unit 5: Feedback and control theory An Introduction to Mechanical Engineering: Part Two Feedback and control theory Learning summary By the end of this.
Control Theory and Congestion Glenn Vinnicombe and Fernando Paganini Cambridge/Caltech and UCLA IPAM Tutorial – March Outline of second part: 1.Performance.
DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
ECE 8443 – Pattern Recognition ECE 3163 – Signals and Systems Objectives: First-Order Second-Order N th -Order Computation of the Output Signal Transfer.
(C) P. D. Olivier 2001Frequency Response1 Noise Rejection Chapter 12.
Chapter 3 mathematical Modeling of Dynamic Systems
(e.g., deviation variables!)
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Loop Shaping.
Chapter 7 Stability and Steady-State Error Analysis
Basic Concepts  Block diagram representation of control systems  Transfer functions  Analysis of block diagrams  P, PI and PID controllers ( Continuous.
1 Chapter 5 Sinusoidal Input. 2 Chapter 5 Examples: 1.24 hour variations in cooling water temperature Hz electrical noise (in USA!) Processes are.
Control of Robot Manipulators
Mechanical Engineering Department Automatic Control Dr. Talal Mandourah 1 Lecture 1 Automatic Control Applications: Missile control Behavior control Aircraft.
Motivation Thus far we have dealt primarily with the input/output characteristics of linear systems. State variable, or state space, representations describe.
Pioneers in Engineering, UC Berkeley Pioneers in Engineering Week 8: Sensors and Feedback.
Observer-Based Robot Arm Control System Nick Vogel, Ron Gayles, Alex Certa Advised by: Dr. Gary Dempsey.
Control systems KON-C2004 Mechatronics Basics Tapio Lantela, Nov 5th, 2015.
ME 431 System Dynamics Dept of Mechanical Engineering.
Lecture 5: Transfer Functions and Block Diagrams
Lecture 7: State-Space Modeling 1.Introduction to state-space modeling Definitions How it relates to other modeling formalisms 2.State-space examples 3.Transforming.
Subsea Control and Communications Systems
Lecture 6: Time Response 1.Time response determination Review of differential equation approach Introduce transfer function approach 2.MATLAB commands.
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Lecture 22: Frequency Response Analysis (Pt II) 1.Conclusion of Bode plot construction 2.Relative stability 3.System identification example ME 431, Lecture.
Frequency Response Analysis
SURF 2015 lecture: Jun 24, 2015 Koji Arai – LIGO Laboratory / Caltech LIGO-G v1.
Ch. 13 Frequency analysis TexPoint fonts used in EMF.
Lecture 16: Introduction to Control (Part II)
Chapter 4 A First Analysis of Feedback Feedback Control A Feedback Control seeks to bring the measured quantity to its desired value or set-point (also.
5.3 Definite Integrals and Antiderivatives. What you’ll learn about Properties of Definite Integrals Average Value of a Function Mean Value Theorem for.
ERT 210/4 Process Control & Dynamics DYNAMIC BEHAVIOR OF PROCESSES :
TRANSFER FUNCTION Prepared by Mrs. AZDUWIN KHASRI.
Page 1 Lecture 12 AO Control Theory Claire Max with many thanks to Don Gavel and Don Wiberg UC Santa Cruz February 18, 2016.
EE , 수요일 23, 24 (북)-이공대학 강의실3 정 우 용 자동제어공학 1주차 EE , 수요일 23, 24 (북)-이공대학 강의실3 정 우 용.
Chapter 1: Overview of Control
Control Systems EE 4314 Lecture 12 March 17, 2015
Transfer Functions Chapter 4
Okwuchi Emereole and Malcolm Good, University of Melbourne
Anton/Busby Contemporary Linear Algebra
The Derivative as a Function
G1 and G2 are transfer functions and independent of the
Definite Integrals and Antiderivatives
Application of Vehicle Controls ME5670
Definite Integrals & Antiderivatives
Ch 3.1: Solving Quadratic Equations
G1 and G2 are transfer functions and independent of the
Presentation transcript:

ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1, pp1-3, sec 5) Increasing the speed-of-response (lectures, sec 1, pp1-3, sec 5) Doing all of the above robustly to process variations (lectures, sec 1, pp1-3, sec 5) Effect of sensor noise on process (lectures, sec 1, pp1-3, sec 5) Block diagrams (sec 2, pg 9) and Simulink (sec 3 and lecture) P and PI controller for simplified cruise-control (sec 5, sec 8) & simplified stick-balancing (sec 2, page 10-12)

ME 132 Summary –Systems governed by ODEs (1 st order and higher), PPT file Input/output (sec 6, sec 7) Definition of stability (sec 7, pg 59) Theorems of stability, location of roots, 1 st, 2 nd, 3 rd, 4 th order tests (sec 7, pg 62-64) Characterizing homogeneous solutions (sec 7.3) Step responses and sinusoidal steady-state responses (sec 7.5, sec 11, complex number identities) Effect of right-hand-side of ODE on the response to inputs (sec 9 and 10)

ME 132 Summary –Transfer function representation of systems governed by ODEs (sec12) Algebraic manipulations (derived by considering LDOs as fundamental) Characterizing stability, steady-state gain, frequency- response, etc., in terms of the transfer function (lectures, Sec 13) class (HW in Sec 12) Basic properties of and (lectures, HW in sec 11 and 12)

ME 132 Summary –Robustness Margins of Feedback Systems Gain margin Time delay margin Percentage-variation margin (“small-gain” theorem), (lectures) Phase Margin (lectures) Deriving L effective for general problem (handout, HW 6 in Section 14) –Controlling the position of an inertia using PI control with velocity feedback (PID control) (sec 23) –Saturation and Anti-Windup Logic in controllers with Integral action (sec 15, HW #7 in sec 18)

ME 132 Summary –Systems governed by state-space models General form of state-equations (sec 3, sec 17, first 2 pages of sec 19) Rules for picking state variables in a few classes of systems (sec 16 and 17) Transfer function and Stability of a linear system of the form –Linearizing a nonlinear system about an equilibrium point (sec 18) Equilibrium points Deriving the linearization Regulating a system near an equilibrium point with a feedback controller (hw #7 and #8 in sec 18)

ME 132 Summary –Intro and motivation of Feedback Control Following a reference (lectures, sec 1, pp1-3, sec 5) Rejecting a disturbance (lectures, sec 1, pp1-3, sec 5) Increasing the speed-of-response (lectures, sec 1, pp1-3, sec 5) Doing all of the above robustly to process variations (lectures, sec 1, pp1-3, sec 5) Effect of sensor noise on process (lectures, sec 1, pp1-3, sec 5) Block diagrams(sec 2, pg 9) and Simulink (sec 3 and lecture) P and PI controller for simplified cruise-control (sec 5, sec 8) & simplified stick-balancing (sec 2, page 10-12) –Systems governed by ODEs (1 st order and higher), PPT file Input/output (sec 6, sec 7) Definition of stability (sec 7, pg 59) Theorems of stability, location of roots, 1 st, 2 nd, 3 rd, 4 th order tests (sec 7, pg 62-64) Characterizing homogeneous solutions (sec 7.3) Step responses and sinusoidal steady-state responses (sec 7.5, sec 11, complex number identities) Effect of right-hand-side of ODE on the response to inputs (sec 9 and 10) –Transfer function representation of systems governed by ODEs (sec12) Algebraic manipulations (derived by considering LDOs as fundamental) Characterizing stability, steady-state gain, frequency-response, etc., in terms of the transfer function (lectures, Sec 13) class (HW in Sec 12) Basic properties of and (lectures, HW in section 12) –Robustness Margins of Feedback Systems Gain margin Time delay margin Percentage-variation margin (“small-gain” theorem), (lectures) Phase Margin (lectures) Deriving L effective for general problem (handout, HW 6 in Section 14) –Controlling the position of an inertia using PI control with velocity feedback (PID control) (sec 23) –Saturation and Anti-Windup Logic in controllers with Integral action (sec 15, HW #7 in sec 18) –Systems governed by state-space models General form of state-equations (sec 3, sec 17, first 2 pages of sec 19) Rules for picking state variables in a few classes of systems (sec 16 and 17) Transfer function and Stability of a linear system of the form –Linearizing a nonlinear system about an equilibrium point (sec 18) Equilibrium points Deriving the linearization Regulating a system near an equilibrium point with a feedback controller (hw #7 and #8 in sec 18)