Lecture 7 - SISO Loop Analysis

Similar documents
Lecture 6 - SISO Loop Analysis

Exercises for lectures 7 Steady state, tracking and disturbance rejection

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then

Chapter 13 Laplace Transform Analysis

Why switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i

Chapter 7 Stead St y- ate Errors

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors

EE750 Advanced Engineering Electromagnetics Lecture 17

LINEAR SYSTEMS THEORY

Ch. 9 Common Emitter Amplifier

Some Useful Formulae

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

INTRODUCTION TO AUTOMATIC CONTROLS INDEX LAPLACE TRANSFORMS

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

Note: Torque is prop. to current Stationary voltage is prop. to speed

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Shortest Paths in Graphs. Paths in graphs. Shortest paths CS 445. Alon Efrat Slides courtesy of Erik Demaine and Carola Wenk

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Chapter 10. The singular integral Introducing S(n) and J(n)

Conventional Hot-Wire Anemometer

Lecture 8 - SISO Loop Design

State Observer Design

Sensorless Control of PMSM Based on Extended Kalman Filter

Folding of Regular CW-Complexes

ELG3150 Assignment 3

DISCRETE TIME FOURIER TRANSFORM (DTFT)

Fourier Transform: Overview. The Fourier Transform. Why Fourier Transform? What is FT? FT of a pulse function. FT maps a function to its frequencies

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 6: Heat Conduction: Thermal Stresses

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

10. Limits involving infinity

VOLT-HERTZ CONTROL OF THE SYNCHRONOUS MOTOR WITH RAMP EXCITING VOLTAGE

Calculus II (MAC )

Math 656 March 10, 2011 Midterm Examination Solutions

Chapter 8 Theories of Systems

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

ENGR 7181 LECTURE NOTES WEEK 5 Dr. Amir G. Aghdam Concordia University

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

SER/BER in a Fading Channel

Consider a system of 2 simultaneous first order linear equations

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

Magnetic Suspension System Control Using Jacobian and Input State Linearisation. D. Giaouris, J.W. Finch

The Fourier Transform

Lecture 08 Multiple View Geometry 2. Prof. Dr. Davide Scaramuzza

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University

Chapter 10 Time-Domain Analysis and Design of Control Systems

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

ENGR 7181 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

Decentralized Adaptive Control and the Possibility of Utilization of Networked Control System

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Structure and Features

The Matrix Exponential

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation

Sliding Mode Flow Rate Observer Design

Y 0. Standing Wave Interference between the incident & reflected waves Standing wave. A string with one end fixed on a wall

Exercise 1. Sketch the graph of the following function. (x 2

ELEC 372 LECTURE NOTES, WEEK 11 Dr. Amir G. Aghdam Concordia University

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Control Systems. Transient and Steady State Response.

Filter Design Techniques

where: u: input y: output x: state vector A, B, C, D are const matrices

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis

A Probabilistic Characterization of Simulation Model Uncertainties

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Modeling with first order equations (Sect. 2.3).

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

Self-interaction mass formula that relates all leptons and quarks to the electron

Physics 160 Lecture 3. R. Johnson April 6, 2015

Guo, James C.Y. (1998). "Overland Flow on a Pervious Surface," IWRA International J. of Water, Vol 23, No 2, June.

EE Control Systems LECTURE 11

PART - 4. Multivariable Control for MIMO processes

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

The Matrix Exponential

P a g e 5 1 of R e p o r t P B 4 / 0 9

Numbering Systems Basic Building Blocks Scaling and Round-off Noise. Number Representation. Floating vs. Fixed point. DSP Design.

Poisson process Markov process

ON RIGHT(LEFT) DUO PO-SEMIGROUPS. S. K. Lee and K. Y. Park

Applications of Lagrange Equations

Executive Committee and Officers ( )

The Variance-Covariance Matrix

Chapter 13 GMM for Linear Factor Models in Discount Factor form. GMM on the pricing errors gives a crosssectional

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

Period vs. Length of a Pendulum

Lecture 3: Phasor notation, Transfer Functions. Context

4. (5a + b) 7 & x 1 = (3x 1)log 10 4 = log (M1) [4] d = 3 [4] T 2 = 5 + = 16 or or 16.

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

Transfer function and the Laplace transformation

innovations shocks white noise

Jones vector & matrices

Electrochemistry L E O

Control Systems. Root locus.

Static/Dynamic Deformation with Finite Element Method. Graphics & Media Lab Seoul National University

A Nonlinear Model Reference Adaptive Control for a Universal Motor using Backstepping Approach

Consider serial transmission. In Proakis notation, we receive

(1) Then we could wave our hands over this and it would become:

MA1506 Tutorial 2 Solutions. Question 1. (1a) 1 ) y x. e x. 1 exp (in general, Integrating factor is. ye dx. So ) (1b) e e. e c.

Circle the letters only. NO ANSWERS in the Columns!

Transcription:

Lctr 7 - IO Loop Anal IO ngl Inpt ngl Otpt Anal: tablt rformanc Robtn EE39m - prng 5 Gornvk ontrol Engnrng 7-

ODE tablt Lapnov mathmatcal tablt thor - nonlnar tm tablt fnton frt rct mtho xponntal convrgnc con mtho: Lapnov fncton gnralzaton of nrg paton Lapnov xponnt omnant xponnt of th convrgnc for a nonlnar tm for a lnar tm fn b th pol x x & x δ f x, t ε x A -ax -A -ax t EE39m - prng 5 Gornvk ontrol Engnrng 7-

x& Ax x B D tablt: pol H H haractrtc val tranfr fncton pol l.h.p. for contno tm nt crcl for ampl tm I/O mol v. ntrnal namc I A B D Imag Imag z Ral H N g n K g D p pn g Ral EE39m - prng 5 Gornvk ontrol Engnrng 7-3

EE39m - prng 5 Gornvk ontrol Engnrng 7-4 tablt: clo loop h tranfr fncton pol ar th zro of Watch for pol-zro cancllaton! ol fn th clo-loop namc nclng tablt Algbrac problm, ar than tat pac m : ID controllr k k k D D I τ : lant - ; [ ] 4 4 3 4 4

powr amp control voltag EE39m - prng 5 Gornvk rvomotor Exampl Motor controllr nor poton tpont h control goal to track th poton tpont U ID control τ D. k k I kd τ - D mol Jx && bx& ci LI& RI LF x ranfr fncton G F I J J.c, F I.c ontrol Engnrng 7-5. c G

rvomotor Exampl ID controllr: k I D D ; k ; k.; τ. tablt [ ] - Imag p 5 5 >> fback,*; >> >> >> [z,p,k] zpkata; >> plotp -5 - -5 - -8-6 -4 - EE39m - prng 5 Gornvk Ral p ontrol Engnrng 7-6

tablt For lnar tm pol crb tablt almot, xcpt th crtcal tablt For nonlnar tm lnarz aron th qlbrm mght hav to look at th tablt thor - Lapnov Orbtal tablt: trajctor convrg to th r th tat o not - th tmng off paccraft FM, 3-D trajctor wthot arcraft arrval tm EE39m - prng 5 Gornvk ontrol Engnrng 7-7

rformanc N to crb an analz prformanc o that w can gn tm an tn controllr What th prformanc nx? hr ar all man conflctng rqrmnt Engnr look for a raonabl tra-off k k, k D k D Optmzr, rformanc I τ D lant mol k ki m EE39m - prng 5 Gornvk ontrol Engnrng 7-8

rformanc: Exampl lctng optmal b n th Watt govrnor - HW Agnmnt b Optmzr rformanc lant mol, gvn b ampng b.5..5.95.9 rformanc nx: trannt ca rat v b m.85.8.75 EE39m - prng 5 Gornvk ontrol Engnrng 7-9.5 3 3.5 4 4.5 5 DAMING b

rformanc - pol ta tat rror: t tranfr fncton at. tp/pl rpon convrgnc, omnant pol a mn { R p } n j j at A omnant xponnt aton! Fat rpon pol far to th lft ma la to pakng fat rpon low rpon EE39m - prng 5 Gornvk ontrol Engnrng 7-

rformanc - tp rpon tp rpon hap charactrzaton: ovrhoot ttlng rror nrhoot ttlng tm r tm ta tat rror EE39m - prng 5 Gornvk ontrol Engnrng 7-

EE39m - prng 5 Gornvk ontrol Engnrng 7- rformanc - qaratc nx Qaratc prformanc rpon, n frqnc oman { π π π t t t J t E ~ ~ For t a zro man ranom proc wth pctral powr Q For Q, th jt arcval thorm π Q t t t E J t [ ]

rvomotor xampl tp rpon LOED LOO EOIN E REONE.8.6 >> fback*,; >> tp >>.4....3.4.5.6.7.8.9. Qaratc nx J t t t t >> fback*,; >> t.; >> tp,:t:.; >> J m-.^*t J.8 EE39m - prng 5 Gornvk ontrol Engnrng 7-3

ntvt trbanc rfrnc lant ontrollr otpt - rror trbanc Fforwar lant F rfrnc otpt - rror L Fback ntvt << for L >> goo for an frqnc for L << nvr ntabl can b ba for L - rngng, ntablt EE39m - prng 5 Gornvk [ ] F FF L Fforwar ntvt ontrol Engnrng 7-4

EE39m - prng 5 Gornvk ontrol Engnrng 7-5 ranfr fncton n control loop v n v n v n ontrollr lant - v trbanc fforwar rfrnc otpt control rror n no

EE39m - prng 5 Gornvk ontrol Engnrng 7-6 ranfr fncton n control loop ntvt omplmntar ntvt No ntvt Loa ntvt [ ] [ ] [ ] [ ] v n v n v n v n

EE39m - prng 5 Gornvk ontrol Engnrng 7-7 ntvt rqrmnt Dtrbanc rjcton an rfrnc trackng << for th trbanc << for th npt no v Lmt control ffort << conflct wth trbanc rjcton whr < No rjcton << for th no n, conflct wth trbanc rjcton v n v n v n

rvomotor xampl - ntvt Otpt trbanc ENIIVIY NOIE ENIIVIY 3 Otpt no 5 Magnt B - - Magnt B 5-3 5-4 3 3 Frqnc ra/c Frqnc ra/c tpont trackng OMLEMENARY ENIIVIY - LOAD ENIIVIY Fforwar -3 Magnt B - - Magnt B -4-5 -3-6 -4 3 EE39m - prng 5 Gornvk Frqnc ra/c -7 3 ontrol Engnrng 7-8 Frqnc ra/c

Robtn A controllr work for a mol. Wll t work for a ral tm? an chck that controllr work for a rang of ffrnt mol an hop that th ral tm covr b th rang Uncrtant t lant Fback controllr t EE39m - prng 5 Gornvk ontrol Engnrng 7-9

Robtn Atv ncrtant Mltplcatv ncrtant t t t t onton of robt tablt < 3 4444 3 EE39m - prng 5 Gornvk onton of robt tablt < 3 4444 3 mall Gan horm: loop gan < tablt ontrol Engnrng 7-

Nqt tablt crtron - γ t G t Homotop roof G tabl, hnc th loop tabl for γ. Graall ncra γ to. h ntablt cannot occr nl γgw for om γ. G 8 < a ffcnt conton btlt: r.h.p. pol an zro Formlaton an ral proof ng th agrmnt prncpl, ncrclmnt of - tabl ntabl tabl a γ EE39m - prng 5 Gornvk ompar agant mall Gan horm: ontrol Engnrng 7-

Gan an pha margn - L Im L Loop gan L [ L ] gan margn - 8 ϕ m /g m R L Nqt plot for L at hgh frqnc L << gc pha margn EE39m - prng 5 Gornvk ontrol Engnrng 7-

Gan an pha margn Bo plot gan croovr pha croovr /g m Im L gan margn - 8 ϕ m R L gc gc pha margn EE39m - prng 5 Gornvk 8 ontrol Engnrng 7-3

rvomotor xampl Imagnar Ax Gan croovr at 7 ra/ -. -.4 -.6 -.8 - pha margn Nqt Dagram Ral Ax gan margn - -.8 -.6 -.4 -. Magnt B ha g - - -3-4 -9-35 -8 Bo Dagram gan margn 9B pha margn 57 g ha croovr at 399 ra/ -5 3 Frqnc ra/c EE39m - prng 5 Gornvk ontrol Engnrng 7-4