u(t) Figure 1. Open loop control system

Similar documents
Design of Controller for Robot Position Control

Sample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems

6 December 2013 H. T. Hoang - www4.hcmut.edu.vn/~hthoang/ 1

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

Chapter 7: Inverse-Response Systems

, the. L and the L. x x. max. i n. It is easy to show that these two norms satisfy the following relation: x x n x = (17.3) max

Frequency Response. We now know how to analyze and design ccts via s- domain methods which yield dynamical information

To become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship

CONTROL SYSTEMS. Chapter 10 : State Space Response

EECE 301 Signals & Systems Prof. Mark Fowler

8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1

CHAPTER 7: SECOND-ORDER CIRCUITS

13.1 Circuit Elements in the s Domain Circuit Analysis in the s Domain The Transfer Function and Natural Response 13.

Let. x y. denote a bivariate time series with zero mean.

18.03SC Unit 3 Practice Exam and Solutions

Network Flows: Introduction & Maximum Flow

Control Systems. Lecture 9 Frequency Response. Frequency Response

EE Control Systems LECTURE 2

Chapter 6. Laplace Transforms

Randomized Perfect Bipartite Matching

The Residual Graph. 11 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

EE202 Circuit Theory II

Introduction to Congestion Games

The Residual Graph. 12 Augmenting Path Algorithms. Augmenting Path Algorithm. Augmenting Path Algorithm

Chapter 6. Laplace Transforms

LAPLACE TRANSFORM AND TRANSFER FUNCTION

Laplace Transform. Inverse Laplace Transform. e st f(t)dt. (2)

UT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics

CONTROL SYSTEMS. Chapter 3 Mathematical Modelling of Physical Systems-Laplace Transforms. Prof.Dr. Fatih Mehmet Botsalı

5.2 GRAPHICAL VELOCITY ANALYSIS Polygon Method

Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or

CS4445/9544 Analysis of Algorithms II Solution for Assignment 1

A Theoretical Model of a Voltage Controlled Oscillator

EECE 301 Signals & Systems Prof. Mark Fowler

6.8 Laplace Transform: General Formulas

2.4 Cuk converter example

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Matching. Slides designed by Kevin Wayne.

s-domain Circuit Analysis

CHAPTER HIGHER-ORDER SYSTEMS: SECOND-ORDER AND TRANSPORTATION LAG. 7.1 SECOND-ORDER SYSTEM Transfer Function

Chapter 9 - The Laplace Transform

1 Motivation and Basic Definitions

Algorithms and Data Structures 2011/12 Week 9 Solutions (Tues 15th - Fri 18th Nov)

ECE 2100 Circuit Analysis

An Improved Anti-windup Control Using a PI Controller

RPN TUNING STRATEGY FOR MODEL PREDICTIVE CONTROL

Lecture 13 RC/RL Circuits, Time Dependent Op Amp Circuits

ECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances

How to Solve System Dynamic s Problems

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

Instrumentation & Process Control

Algorithmic Discrete Mathematics 6. Exercise Sheet

System Processes input signal (excitation) and produces output signal (response)

Algorithm Design and Analysis

R.#W.#Erickson# Department#of#Electrical,#Computer,#and#Energy#Engineering# University#of#Colorado,#Boulder#

Lectures 29 and 30 BIQUADRATICS AND STATE SPACE OP AMP REALIZATIONS. I. Introduction

Motion In One Dimension. Graphing Constant Speed

Module 4: Time Response of discrete time systems Lecture Note 2

Voltage/current relationship Stored Energy. RL / RC circuits Steady State / Transient response Natural / Step response

Linear Response Theory: The connection between QFT and experiments

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V

Rectilinear Kinematics

Study of simple inductive-capacitive series circuits using MATLAB software package

Performance Comparison of LCMV-based Space-time 2D Array and Ambiguity Problem

Notes on cointegration of real interest rates and real exchange rates. ρ (2)

The Brock-Mirman Stochastic Growth Model

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Introduction to SLE Lecture Notes

RC, RL and RLC circuits

Macroeconomics 1. Ali Shourideh. Final Exam

1 Routh Array: 15 points

Mon Apr 2: Laplace transform and initial value problems like we studied in Chapter 5

Graphs III - Network Flow

Chapter 2: Principles of steady-state converter analysis

Homework 12 Solution - AME30315, Spring 2013

Math 10B: Mock Mid II. April 13, 2016

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Network Flow. Data Structures and Algorithms Andrei Bulatov

L1, L2, N1 N2. + Vout. C out. Figure 2.1.1: Flyback converter

CHAPTER 3 SIGNALS & SYSTEMS. z -transform in the z -plane will be (A) 1 (B) 1 (D) (C) . The unilateral Laplace transform of tf() (A) s (B) + + (D) (C)

Second Law. first draft 9/23/04, second Sept Oct 2005 minor changes 2006, used spell check, expanded example

Continuous Time Linear Time Invariant (LTI) Systems. Dr. Ali Hussein Muqaibel. Introduction

Chapter 8: Response of Linear Systems to Random Inputs

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

MAE143A Signals & Systems - Homework 2, Winter 2014 due by the end of class Thursday January 23, 2014.

NODIA AND COMPANY. GATE SOLVED PAPER Electrical Engineering SIGNALS & SYSTEMS. Copyright By NODIA & COMPANY

Optimal State-Feedback Control Under Sparsity and Delay Constraints

Lecture 5 Buckling Buckling of a structure means failure due to excessive displacements (loss of structural stiffness), and/or

Dynamic Effects of Feedback Control!

Control Systems -- Final Exam (Spring 2006)

Exercises, Part IV: THE LONG RUN

Sterilization D Values

Chapter 8 The Complete Response of RL and RC Circuits

THE BERNOULLI NUMBERS. t k. = lim. = lim = 1, d t B 1 = lim. 1+e t te t = lim t 0 (e t 1) 2. = lim = 1 2.

Design By Emulation (Indirect Method)

Module 4: Time Response of discrete time systems Lecture Note 1

Numerical Dispersion

Problem Set on Differential Equations

20. Applications of the Genetic-Drift Model

Transcription:

Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference r r K u G y Figure Open loop conrol yem Figure how a andard feedbac conrol yem wih he ame purpoe ha he oupu y follow he reference r r e K u G y Figure Cloed loop feedbac conrol The performance of a conrol yem are precribed in erm of - he abiliy of he yem - range of eady-ae error e lim e lim r y - deired maximum allowed percen overhoo POV < POV - deired maximum allowed eling ime < - deired maximum rie ime r < r n hi lecure we are only concerned wih he abiliy and he eady ae error performance Deign of conroller which aify he re of he performance will be dicued in fuure lecure Open loop conrol reduce o finding he deired conrol inpu rajecory which will produce a deired oupu of he conrolled yem n effec i require accurae nowledge on he model of he yem a lea of he aic characeriic of he yem Uing a inpu of he model he deired oupu of he yem, he model will oupu a ignal which, when applied a he yem inpu, will produce ha pecified deired oupu Tae for example he eady ae error for an open loop conrol yem when he reference i a uni ep hen e lim e lim r y lim Y 0 0 lim [ KG ] lim[ KG ] K0 G0 0

Thu he eady ae error in hi cae i zero only if K0 / G0 ie exac nowledge on he DC gain of he yem i available Le for a momen conider ha we now exacly he value of G 0 even if hi i no generally rue Wha if an exernal diurbance ignal affec i added o he conrol inpu lie hown in Figure 3? d r K u G y Figure 3 Open loop conrol yem wih diurbance Calculae he value of he eady ae error if he diurbance i a uni ep See ha in hi cae he eady ae error will never be zero Feedbac conrol algorihm or feedbac conroller calculae he conrol inpu baed on he error difference beween he deired yem oupu ie he reference and he meaured preen yem oupu in he ene of cancelling he error difference Can uch conroller cancel he eady ae error in he preence of uncerainie on he yem dynamic and/or in he preence of exogenou diurbance? f o, how can we deign uch conroller? Seady-ae error The eady ae error i defined a he value of he error ignal e r y a The eady ae error i hown in he figure for a uni ep and a uni ramp reference y e r 0 Figure 4 Nonzero eady-ae error o a ep reference

e y r 0 Figure 5 Nonzero eady-ae error o a ramp reference Feedbac can improve he racing capabiliie of a plan by maing he eady-ae error maller, preferably zero The cloed-loop ranfer funcion i given by remember Maon formula Y KG T KG However, o find he eady-ae error e lim e, one deermine E Y T KG To find he eady-ae error in repone o a uni ep reference, elec Final Value Theorem o obain e e E KG lim lim lim 0 0 and ue he Example Given he yem in he nex figure d r e K G y Figure 6 where he plan i G and he conroller i he inegral compenaor K wih he inegral gain, calculae he eady ae error in repone o a uni ep reference and a uni ep diurbance 3

Noe ha if he feedbac loop ha a gain differen ha hen he error ignal will no how up in he diagram Thu even if in hi cae he error can be calculaed uing Maon formula in general i i beer o ue he definiion on page a Find he Seady-Sae Error in epone o a Uni Sep Diurbance d To find he requeed eady-ae error, e 0 and D / The ranfer funcion from d o e i given by G E D KG E D D Uing now he Final Value Theorem yield e lim E lim 0 0 0 Noe ha hi mean he oupu y goe o zero, ince he reference i r0 b Find he Seady-Sae Error in epone o a Uni Sep eference r To find he requeed eady-ae error, e / and D 0 The ranfer funcion from r o e i given by E KG E Uing now he Final Value Theorem yield e lim E lim 0 0 0 Noe ha hi mean he oupu y goe o one, ince he reference i ru - c Find he POV For a Uni Sep eference The cloed-loop ranfer funcion from he command r o he oupu y i given by GK Y GK 4

5 Y The cloed-loop characeriic polynomial i Comparing hi o he andard form n n ω ζω one ee ha n n ω ζ ω One can herefore elec he inegral gain o obain any deired value of damping raio, and hence of POV which i given by 00% / ζ πζ e POV d Find he Oupu y if, u e d u e r The ranfer relaion beween he wo inpu and he oupu i given by GK G Y D GK GK or D D Y Seing now, D one obain Y For he given value of one may now ue he invere Laplace ranform o deermine he oupu y

Feedbac conrol yem deign for zero eady ae error n general, o follow a reference wih zero eady-ae error, he pah beween he reference and he yem oupu hould conain a erm lie For inance, o follow a ramp velociy reference / one require a lea wo inegraor in he pah from he reference o he oupu Tha i, for zero eady-ae error in repone o a given reference, he conrol yem hould conain a model of he deired reference rajecory Alo, o rejec he eady ae componen of a diurbance of nonzero mean he pah beween he reference and he diurbance inpu hould conain a erm lie D Thee wo rule expre he inernal model principle Problem Conider he yem in he figure d r e K G y Figure 7 Le he plan be given in he form m b0 b bm n G n a a n d N n N The compenaor i given a K, GK, and aume ha he plan doe no have N d N any pole in zero A Le D 0 and r, r 0 Wha i he minimum value of N uch ha he eady ae error i zero? B Le 0 and D d, d 0 Wha i he minimum value of N uch ha he eady ae error i zero? n C epea poin A and B conidering ha G, g 0 d g The advanage of feedbac conrol - a well deigned conroller can cancel he eady ae error uch ha he oupu of he yem will follow, afer he ranien repone i finihed, he deired pecified oupu ie he reference, even in he preence of uncerainie relaive o he model of he yem or he appearance of exogenou diurbance Some co of feedbac conrol - increaed complexiy of he conrol yem: enor are required and enor have heir own dynamic; moreover one ha o deal wih meauremen noie 6

- in ome cae feedbac can mae he yem unable for pecific conroller rucure and cerain value of he conroller parameer Sable feedbac conrol Bad deign of feedbac conroller can lead o an unable cloed loop yem Thu while chooing a rucure for he conroller you mu alway chec o ee if he cloed loop yem will remain able you can ue ouh e on he characeriic equaion or calculae he pole of he yem and pecify he condiion uch ha all he pole are in he lef half -plane and for which value of conroller parameer The nex example illurae hi idea Problem Tae he feedbac conrol yem in he figure d r e K G y Figure 8 where D 0, K a proporional conroller, and he yem ha he ranfer funcion G a Calculae he pole and he zero of he yem b he yem minimum phae? Y c Calculae he ranfer funcion of he cloed loop yem H d For which value of will he cloed loop yem remain able? Noe ha here he conroller i a proporional conroller e Calculae he eady-ae error in repone o a uni ep reference f n order o obain zero eady-ae error we ae he conroller o be K Thi i an inegral conroller According o he inernal model principle we now ha we need an inegraor in he conroller Bu will i be able o alo abilize he yem? f For which value of will he yem be able? f Calculae he eady ae-error in repone o a uni ep reference g Le he conroller be K p Thi conroller i a P proporional and inegraor g For which value of will he yem be able? g Calculae he eady ae error in repone o a uni ep reference 7