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

Size: px
Start display at page:

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

Transcription

1 ECE 350 Root Locu Deign Example Recall the imple crude ervo from lab G( ) σ = = PI To eliminate teady-tate error (for contant input) & perfect reection of contant diturbance Note: The DC motor ha a pole at zero and hould do zero the teadytate error by itelf, but nonlinearitie prevent it from doing it well. G( ). 0. Add pole at 0 and zero at -0. C( ) = =. p LAG An alternative i a Lag Compenator, here with a pole at -0. and a zero at -0.5 G( ) = Thi wor very much lie the PI controller, but without the need for active component. The area near the origin Root Locu Deign Example p.

2 Root Locu Deign Example p.2 Let' eep the pole at 0 and zero at -0. for elimination of teady-tate error and reection of diturbance CL pole at p and = = G( ) 3.44 At gain of = deg 8.6 o 36.4 o 35 o Thi i a point in the root locu becaue: 8.6. deg deg 35. deg 35. deg 35. deg = 80 deg 6.64 = deg PD or PID To Improve the dynamic repone Want to double the peed Want pole to move to: p = deg 9.4 o 79.3 o 35 o Unfortunately, thi point in NOT on the root locu = deg deg = deg Maybe we could add a zero o that it' angle i: θ. z deg 80. deg θ z = 53.7 deg x =. = 0.28 z Re( p ). z = G( ).( 0. ).( 24.28) = = 0.48 i the required gain G( 4 4. ) Root Locu Deign Example p o 79.3 o x 35 o

3 Root Locu Deign Example p.3 We have deigned a our compenation with the following: A pole at the origin A zero at -0. A zero at Gain of 0.48 Find the,, & d of a PID controller.. d C( ) = =. d =.. i 2 d.. 2 d 2 p. =. d d d ( 0. ).( ) = gain = d 0.48 = 2. d d = d 2.43 =.06 d = i p d = 0.9 Notice: = 0. ~ 0. d Notice that the proportional gain i actually almot 3 time higher than it wa before = 0.32 LEAD An alternative to the differentiator i a Lead Compenator. Intead of a ingle zero with: θ z = 53.7 deg How about a zero with θ z. 70 deg And a pole with θ p. 70 deg deg x =. = θ p = 6.29 deg z Re( p ). z = xp =. = tan θ p 6.3 o 70 o p Re( p ). p = tan θ p Thi example i actually a PI-Lead controller Root Locu Deign Example p.3

4 Problem with the differentiator Root Locu Deign Example p.4. Trie to differentiate a tep input into an impule -- not liely. You'll have to conider how your differentiator will actually handle a tep input and how your amplifier will aturate. If the differentiator and amplifier aturate in uch a way the the "area under the curve" approximate the impule "area under the curve", then thi may not be uch a problem. It may not be a fat a predicted from the linear model, but it may be a fat a the ytem limit allow. (Pedal-to-the-metal.) 2. It' a high-pa filter and can accentuate noie. Thi i actually common to all compenator that peed up the repone. 3. Require active component and a power upply to build. Uually no big deal ince your amplifier (ource of gain) doe too. 4. I never perfect (alway ha higher-order pole), but then neither i anything ele. Epecially in mechanical ytem, thee pole uually are well beyond where they could caue problem. Alternative:. Lag-Lead or PI-Lead compenation. Thi eliminate the differentiator, but it i till a high-pa filter that can be a noie problem and it could till aturate the amplifier if the input change too rapidly. Be ure to chec for aturation problem. 2. Place the differentiator in the feedbac loop. The output of the plant i much le liely to be a tep or to change o rapidly that it caue problem. Differentiation in the feedbac P( ) Find the,, & d of thi controller.. d Note: The differential ignal i often taen from a motor tachometer when the output i a poition. Then you don't need a eparate differentiator circuit, ut a eparate gain for that ignal. F( ). C( ) =. p C( ) F( ). d =.. p. p d In thi cae the open-loop zero in the feedbac loop IS NOT in the cloed-loop. Thi turn out to mae the tep repone lower than predicted by the econd-order approximation, but try a imulation, you may be able to ue ignificantly more gain with no more overhoot. The differentiator in thi poition inhibit overhoot. =.. p d d For our example: = ( 0. ).( 24.28) d d d = = 0.9 d. i 0. =.09 Root Locu Deign Example p.4

5 PI and PID Deign Example p.5 Ex.2, from S6 Exam 3 Conider the tranfer function: G( ) a) Find the departure angle from a complex pole. Angle: from pole at - θ p. 80 deg 4 θ p = deg 5 ( ) from pole at -2-4 θ p2 90. deg θ p2 = 90 deg from zero at -5 θ z 4 3 θ z = 53.3 deg deg θ = deg 90. deg deg 80. deg = deg b) Draw a root locu plot. Calculate the centroid and accurately draw the departure angle σ σ = 0 2 c) I there any decent place to locate the cloed-loop pole? NO deg d) You would lie to place your cloed-loop pole to get a ettling time of /2 ec and 0.656% overhoot. Add the implet poible compenator to accomplih thi and calculate what the compenator hould be. 2% ettling time: T = 4 a Overhoot: a b = ln( OS) π OS = e. π a b ln( ) = = π 4 a = = 2 8 %OS =. 00% e 8.6 b = = 5.6. π a b Pole hould be at Angle: from pole at deg 5 = deg 7 from pole at deg = deg deg from pole at deg 9 = deg 6 from zero at deg 5 = deg deg deg deg deg = deg θ. z deg 80. deg θ z = deg tan( deg 90. deg) =. = x 5 x x = 2.5 C( ) = 2.5 G c ( ) ( 5 ).( 2.5) ( ) PI and PID Deign Example p ( 5 ).( 2.5 ) Chec: arg = 80 deg ( )

6 PI and PID Deign Example p.6 e) What i the gain? G c ( ) ( 8 5. ). ( 8 5. ) 2 4.( 8 5. ) 20 = = ( ).( ) f) What i the teady-tate error for a unit-tep input? G c ( ) ( 5 ).( 2.5) ( ) G c ( 0 ) = G c ( 0) = e tep = = 0.9 % ( 0 5 ).( 0 2.5) ( 0 ) ( 5 ).( 2.5) = = ( ).( 20) g) If thi teady-tate error wa a little too big, what would be the very implet way to reduce it? turn up the gain Ex.3, from S6 Exam 3 a) Setch the root locu plot of, G( ) σ C = = n m The gain i et at 452, o that one of the cloed-loop pole i at, Further calculation yield: Settling time: ec % overhoot: 5.92.% Steady-tate error to a unit-tep input: 60.8% 00 m 0 ( 25 ).( ).( 70) n 3 45 n m = 3 o aymptote are at + 60 o & 80 o b) You wih to increae the frequency of ringing to rad/ec without changing the % overhoot at all. Where hould the cloed-loop pole be located? a b = = 0.9 new b new a = 0.9. b = 36 New location: 36. c) Add a LEAD compenator o that you will be able to place the cloed-loop pole at the location found in b). Add the new zero at -30. Find the location of the new pole. Angle: from pole at -25 θ deg from pole at - θ 36 from pole at -70 θ from new zero at -30 θ deg θ 25 = deg θ = deg θ 70 = deg θ 30 = deg PI and PID Deign Example p.6

7 θ 25 θ θ 70 θ 30 θ p =. 80 deg PI and PID Deign Example p.7 θ p. 80 deg θ 25 θ θ 70 θ 30 θ p = deg p 36 p = = tan θ p 85 G c ( ) 00.( 30) ( 25 ).( ).( 70 ).( 85) 00.( 30) Chec: arg = ( 25 ).( ).( 70 ).( 85) deg d) With the compenator in place and a cloed-loop pole at the location deired in part b) i) What i the gain? G c ( ) = 369 ii) What i the 2% ettling time? 4 T = = 0. ec 36 Ue the econd-order approximation. iii) What i the teady-tate error to a unit-tep input? 00.( 0 30) G c ( 0 ) = = ( 0 25 ).( 0 ).( 0 70 ).( 0 85) e) Add another compenator: C 2 ( ) e tep = =. G c ( 0) and maintain the gain of part d) i) What i thi type of compenator called and what i it purpoe? PI, ued to eliminate teady-tate error 59.6 % ii) Calculate what you need to to how that thi compenator achieved it purpoe. 00.( 30) G c ( ). ( 2) ( 25 ).( ).( 70 ).( 85) G c ( 0 ) = e tep =. = 0.% f) With both compenator in place, i there poibility for improvement (quicer ettling time peed and/or lower ringing)? If ye, what would be the implet thing to do? Jutify your anwer. A quic etch of the new root-locu how that imply decreaing the gain would improve the ytem PI and PID Deign Example p.7 move down here

ECE-320 Linear Control Systems. Spring 2014, Exam 1. No calculators or computers allowed, you may leave your answers as fractions.

ECE-320 Linear Control Systems. Spring 2014, Exam 1. No calculators or computers allowed, you may leave your answers as fractions. ECE-0 Linear Control Sytem Spring 04, Exam No calculator or computer allowed, you may leave your anwer a fraction. All problem are worth point unle noted otherwie. Total /00 Problem - refer to the unit

More information

Lecture 4. Chapter 11 Nise. Controller Design via Frequency Response. G. Hovland 2004

Lecture 4. Chapter 11 Nise. Controller Design via Frequency Response. G. Hovland 2004 METR4200 Advanced Control Lecture 4 Chapter Nie Controller Deign via Frequency Repone G. Hovland 2004 Deign Goal Tranient repone via imple gain adjutment Cacade compenator to improve teady-tate error Cacade

More information

ME 375 FINAL EXAM Wednesday, May 6, 2009

ME 375 FINAL EXAM Wednesday, May 6, 2009 ME 375 FINAL EXAM Wedneday, May 6, 9 Diviion Meckl :3 / Adam :3 (circle one) Name_ Intruction () Thi i a cloed book examination, but you are allowed three ingle-ided 8.5 crib heet. A calculator i NOT allowed.

More information

376 CHAPTER 6. THE FREQUENCY-RESPONSE DESIGN METHOD. D(s) = we get the compensated system with :

376 CHAPTER 6. THE FREQUENCY-RESPONSE DESIGN METHOD. D(s) = we get the compensated system with : 376 CHAPTER 6. THE FREQUENCY-RESPONSE DESIGN METHOD Therefore by applying the lead compenator with ome gain adjutment : D() =.12 4.5 +1 9 +1 we get the compenated ytem with : PM =65, ω c = 22 rad/ec, o

More information

Lecture 8. PID control. Industrial process control ( today) PID control. Insights about PID actions

Lecture 8. PID control. Industrial process control ( today) PID control. Insights about PID actions Lecture 8. PID control. The role of P, I, and D action 2. PID tuning Indutrial proce control (92... today) Feedback control i ued to improve the proce performance: tatic performance: for contant reference,

More information

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004 ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour

More information

6.447 rad/sec and ln (% OS /100) tan Thus pc. the testing point is s 3.33 j5.519

6.447 rad/sec and ln (% OS /100) tan Thus pc. the testing point is s 3.33 j5.519 9. a. 3.33, n T ln(% OS /100) 2 2 ln (% OS /100) 0.517. Thu n 6.7 rad/ec and the teting point i 3.33 j5.519. b. Summation of angle including the compenating zero i -106.691, The compenator pole mut contribute

More information

Lecture 5 Introduction to control

Lecture 5 Introduction to control Lecture 5 Introduction to control Tranfer function reviited (Laplace tranform notation: ~jω) () i the Laplace tranform of v(t). Some rule: ) Proportionality: ()/ in () 0log log() v (t) *v in (t) () * in

More information

Massachusetts Institute of Technology Dynamics and Control II

Massachusetts Institute of Technology Dynamics and Control II I E Maachuett Intitute of Technology Department of Mechanical Engineering 2.004 Dynamic and Control II Laboratory Seion 5: Elimination of Steady-State Error Uing Integral Control Action 1 Laboratory Objective:

More information

Homework 12 Solution - AME30315, Spring 2013

Homework 12 Solution - AME30315, Spring 2013 Homework 2 Solution - AME335, Spring 23 Problem :[2 pt] The Aerotech AGS 5 i a linear motor driven XY poitioning ytem (ee attached product heet). A friend of mine, through careful experimentation, identified

More information

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax: Control Sytem Engineering ( Chapter 7. Steady-State Error Prof. Kwang-Chun Ho kwangho@hanung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Introduction In thi leon, you will learn the following : How to find the

More information

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505) EE 4443/5329 LAB 3: Control of Indutrial Sytem Simulation and Hardware Control (PID Deign) The Inverted Pendulum (ECP Sytem-Model: 505) Compiled by: Nitin Swamy Email: nwamy@lakehore.uta.edu Email: okuljaca@lakehore.uta.edu

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecture 1 Root Locu Emam Fathy Department of Electrical and Control Engineering email: emfmz@aat.edu http://www.aat.edu/cv.php?dip_unit=346&er=68525 1 Introduction What i root locu?

More information

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples Root Locu Content Root locu, ketching algorithm Root locu, example Root locu, proof Root locu, control example Root locu, influence of zero and pole Root locu, lead lag controller deign 9 Spring ME45 -

More information

G(s) = 1 s by hand for! = 1, 2, 5, 10, 20, 50, and 100 rad/sec.

G(s) = 1 s by hand for! = 1, 2, 5, 10, 20, 50, and 100 rad/sec. 6003 where A = jg(j!)j ; = tan Im [G(j!)] Re [G(j!)] = \G(j!) 2. (a) Calculate the magnitude and phae of G() = + 0 by hand for! =, 2, 5, 0, 20, 50, and 00 rad/ec. (b) ketch the aymptote for G() according

More information

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL 98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i

More information

MM1: Basic Concept (I): System and its Variables

MM1: Basic Concept (I): System and its Variables MM1: Baic Concept (I): Sytem and it Variable A ytem i a collection of component which are coordinated together to perform a function Sytem interact with their environment. The interaction i defined in

More information

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}

More information

Chapter 9: Controller design. Controller design. Controller design

Chapter 9: Controller design. Controller design. Controller design Chapter 9. Controller Deign 9.. Introduction 9.2. Eect o negative eedback on the network traner unction 9.2.. Feedback reduce the traner unction rom diturbance to the output 9.2.2. Feedback caue the traner

More information

Question 1 Equivalent Circuits

Question 1 Equivalent Circuits MAE 40 inear ircuit Fall 2007 Final Intruction ) Thi exam i open book You may ue whatever written material you chooe, including your cla note and textbook You may ue a hand calculator with no communication

More information

What lies between Δx E, which represents the steam valve, and ΔP M, which is the mechanical power into the synchronous machine?

What lies between Δx E, which represents the steam valve, and ΔP M, which is the mechanical power into the synchronous machine? A 2.0 Introduction In the lat et of note, we developed a model of the peed governing mechanim, which i given below: xˆ K ( Pˆ ˆ) E () In thee note, we want to extend thi model o that it relate the actual

More information

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,

More information

CALIFORNIA INSTITUTE OF TECHNOLOGY Control and Dynamical Systems

CALIFORNIA INSTITUTE OF TECHNOLOGY Control and Dynamical Systems Control and Dynamical Sytem CDS 0 Problem Set #5 Iued: 3 Nov 08 Due: 0 Nov 08 Note: In the upper left hand corner of the econd page of your homework et, pleae put the number of hour that you pent on thi

More information

Chapter 13. Root Locus Introduction

Chapter 13. Root Locus Introduction Chapter 13 Root Locu 13.1 Introduction In the previou chapter we had a glimpe of controller deign iue through ome imple example. Obviouly when we have higher order ytem, uch imple deign technique will

More information

NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE

NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE POLITONG SHANGHAI BASIC AUTOMATIC CONTROL June Academic Year / Exam grade NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE Ue only thee page (including the bac) for anwer. Do not ue additional

More information

The Root Locus Method

The Root Locus Method The Root Locu Method MEM 355 Performance Enhancement of Dynamical Sytem Harry G. Kwatny Department of Mechanical Engineering & Mechanic Drexel Univerity Outline The root locu method wa introduced by Evan

More information

Design By Emulation (Indirect Method)

Design By Emulation (Indirect Method) Deign By Emulation (Indirect Method he baic trategy here i, that Given a continuou tranfer function, it i required to find the bet dicrete equivalent uch that the ignal produced by paing an input ignal

More information

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:

Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web:     Ph: Serial :. PT_EE_A+C_Control Sytem_798 Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubanewar olkata Patna Web: E-mail: info@madeeay.in Ph: -4546 CLASS TEST 8-9 ELECTRICAL ENGINEERING Subject

More information

1 Routh Array: 15 points

1 Routh Array: 15 points EE C28 / ME34 Problem Set 3 Solution Fall 2 Routh Array: 5 point Conider the ytem below, with D() k(+), w(t), G() +2, and H y() 2 ++2 2(+). Find the cloed loop tranfer function Y () R(), and range of k

More information

Root Locus Diagram. Root loci: The portion of root locus when k assume positive values: that is 0

Root Locus Diagram. Root loci: The portion of root locus when k assume positive values: that is 0 Objective Root Locu Diagram Upon completion of thi chapter you will be able to: Plot the Root Locu for a given Tranfer Function by varying gain of the ytem, Analye the tability of the ytem from the root

More information

MM7. PID Control Design

MM7. PID Control Design MM7. PD Control Deign Reading Material: FC: p.79-200, DC: p.66-68. Propertie of PD control 2. uning Method of PD Control 3. Antiwindup echnique 4. A real cae tudy BO9000 0/9/2004 Proce Control . PD Feedback

More information

Lecture 8 - SISO Loop Design

Lecture 8 - SISO Loop Design Lecture 8 - SISO Loop Deign Deign approache, given pec Loophaping: in-band and out-of-band pec Fundamental deign limitation for the loop Gorinevky Control Engineering 8-1 Modern Control Theory Appy reult

More information

S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS

S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS by Michelle Gretzinger, Daniel Zyngier and Thoma Marlin INTRODUCTION One of the challenge to the engineer learning proce control i relating theoretical

More information

Chapter #4 EEE8013. Linear Controller Design and State Space Analysis. Design of control system in state space using Matlab

Chapter #4 EEE8013. Linear Controller Design and State Space Analysis. Design of control system in state space using Matlab EEE83 hapter #4 EEE83 Linear ontroller Deign and State Space nalyi Deign of control ytem in tate pace uing Matlab. ontrollabilty and Obervability.... State Feedback ontrol... 5 3. Linear Quadratic Regulator

More information

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

Module 4: Time Response of discrete time systems Lecture Note 1 Digital Control Module 4 Lecture Module 4: ime Repone of dicrete time ytem Lecture Note ime Repone of dicrete time ytem Abolute tability i a baic requirement of all control ytem. Apart from that, good

More information

MEM 355 Performance Enhancement of Dynamical Systems Root Locus Analysis

MEM 355 Performance Enhancement of Dynamical Systems Root Locus Analysis MEM 355 Performance Enhancement of Dynamical Sytem Root Locu Analyi Harry G. Kwatny Department of Mechanical Engineering & Mechanic Drexel Univerity Outline The root locu method wa introduced by Evan in

More information

Solutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam

Solutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam BSc - Sample Examination Digital Control Sytem (5-588-) Prof. L. Guzzella Solution Exam Duration: Number of Quetion: Rating: Permitted aid: minute examination time + 5 minute reading time at the beginning

More information

6.302 Feedback Systems Recitation 6: Steady-State Errors Prof. Joel L. Dawson S -

6.302 Feedback Systems Recitation 6: Steady-State Errors Prof. Joel L. Dawson S - 6302 Feedback ytem Recitation 6: teadytate Error Prof Joel L Dawon A valid performance metric for any control ytem center around the final error when the ytem reache teadytate That i, after all initial

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005.

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005. SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2005. Initial Condition Source 0 V battery witch flip at t 0 find i 3 (t) Component value:

More information

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002

Department of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002 Department of Mechanical Engineering Maachuett Intitute of Technology 2.010 Modeling, Dynamic and Control III Spring 2002 SOLUTIONS: Problem Set # 10 Problem 1 Etimating tranfer function from Bode Plot.

More information

EE Control Systems LECTURE 14

EE Control Systems LECTURE 14 Updated: Tueday, March 3, 999 EE 434 - Control Sytem LECTURE 4 Copyright FL Lewi 999 All right reerved ROOT LOCUS DESIGN TECHNIQUE Suppoe the cloed-loop tranfer function depend on a deign parameter k We

More information

March 18, 2014 Academic Year 2013/14

March 18, 2014 Academic Year 2013/14 POLITONG - SHANGHAI BASIC AUTOMATIC CONTROL Exam grade March 8, 4 Academic Year 3/4 NAME (Pinyin/Italian)... STUDENT ID Ue only thee page (including the back) for anwer. Do not ue additional heet. Ue of

More information

SKEE 3143 CONTROL SYSTEM DESIGN. CHAPTER 3 Compensator Design Using the Bode Plot

SKEE 3143 CONTROL SYSTEM DESIGN. CHAPTER 3 Compensator Design Using the Bode Plot SKEE 3143 CONTROL SYSTEM DESIGN CHAPTER 3 Compenator Deign Uing the Bode Plot 1 Chapter Outline 3.1 Introduc4on Re- viit to Frequency Repone, ploang frequency repone, bode plot tability analyi. 3.2 Gain

More information

ECEN620: Network Theory Broadband Circuit Design Fall 2018

ECEN620: Network Theory Broadband Circuit Design Fall 2018 ECEN60: Network Theory Broadband Circuit Deign Fall 08 Lecture 6: Loop Filter Circuit Sam Palermo Analog & Mixed-Signal Center Texa A&M Univerity Announcement HW i due Oct Require tranitor-level deign

More information

Digital Control System

Digital Control System Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital

More information

ECE Linear Circuit Analysis II

ECE Linear Circuit Analysis II ECE 202 - Linear Circuit Analyi II Final Exam Solution December 9, 2008 Solution Breaking F into partial fraction, F 2 9 9 + + 35 9 ft δt + [ + 35e 9t ]ut A 9 Hence 3 i the correct anwer. Solution 2 ft

More information

Analysis of Stability &

Analysis of Stability & INC 34 Feedback Control Sytem Analyi of Stability & Steady-State Error S Wonga arawan.won@kmutt.ac.th Summary from previou cla Firt-order & econd order ytem repone τ ωn ζω ω n n.8.6.4. ζ ζ. ζ.5 ζ ζ.5 ct.8.6.4...4.6.8..4.6.8

More information

Function and Impulse Response

Function and Impulse Response Tranfer Function and Impule Repone Solution of Selected Unolved Example. Tranfer Function Q.8 Solution : The -domain network i hown in the Fig... Applying VL to the two loop, R R R I () I () L I () L V()

More information

MAE140 Linear Circuits Fall 2012 Final, December 13th

MAE140 Linear Circuits Fall 2012 Final, December 13th MAE40 Linear Circuit Fall 202 Final, December 3th Intruction. Thi exam i open book. You may ue whatever written material you chooe, including your cla note and textbook. You may ue a hand calculator with

More information

Wolfgang Hofle. CERN CAS Darmstadt, October W. Hofle feedback systems

Wolfgang Hofle. CERN CAS Darmstadt, October W. Hofle feedback systems Wolfgang Hofle Wolfgang.Hofle@cern.ch CERN CAS Darmtadt, October 9 Feedback i a mechanim that influence a ytem by looping back an output to the input a concept which i found in abundance in nature and

More information

Chapter 7. Root Locus Analysis

Chapter 7. Root Locus Analysis Chapter 7 Root Locu Analyi jw + KGH ( ) GH ( ) - K 0 z O 4 p 2 p 3 p Root Locu Analyi The root of the cloed-loop characteritic equation define the ytem characteritic repone. Their location in the complex

More information

FRTN10 Exercise 3. Specifications and Disturbance Models

FRTN10 Exercise 3. Specifications and Disturbance Models FRTN0 Exercie 3. Specification and Diturbance Model 3. A feedback ytem i hown in Figure 3., in which a firt-order proce if controlled by an I controller. d v r u 2 z C() P() y n Figure 3. Sytem in Problem

More information

CONTROL OF INTEGRATING PROCESS WITH DEAD TIME USING AUTO-TUNING APPROACH

CONTROL OF INTEGRATING PROCESS WITH DEAD TIME USING AUTO-TUNING APPROACH Brazilian Journal of Chemical Engineering ISSN 004-6632 Printed in Brazil www.abeq.org.br/bjche Vol. 26, No. 0, pp. 89-98, January - March, 2009 CONROL OF INEGRAING PROCESS WIH DEAD IME USING AUO-UNING

More information

Homework #7 Solution. Solutions: ΔP L Δω. Fig. 1

Homework #7 Solution. Solutions: ΔP L Δω. Fig. 1 Homework #7 Solution Aignment:. through.6 Bergen & Vittal. M Solution: Modified Equation.6 becaue gen. peed not fed back * M (.0rad / MW ec)(00mw) rad /ec peed ( ) (60) 9.55r. p. m. 3600 ( 9.55) 3590.45r.

More information

Control Systems Analysis and Design by the Root-Locus Method

Control Systems Analysis and Design by the Root-Locus Method 6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If

More information

CISE302: Linear Control Systems

CISE302: Linear Control Systems Term 8 CISE: Linear Control Sytem Dr. Samir Al-Amer Chapter 7: Root locu CISE_ch 7 Al-Amer8 ١ Learning Objective Undertand the concept of root locu and it role in control ytem deign Be able to ketch root

More information

Digital Control System

Digital Control System Digital Control Sytem Summary # he -tranform play an important role in digital control and dicrete ignal proceing. he -tranform i defined a F () f(k) k () A. Example Conider the following equence: f(k)

More information

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions ONTOL SYSTEMS hapter : Bloc Diagram & Signal Flow Graph GATE Objective & Numerical Type Quetion Quetion 6 [Practice Boo] [GATE E 994 IIT-Kharagpur : 5 Mar] educe the ignal flow graph hown in figure below,

More information

5.5 Application of Frequency Response: Signal Filters

5.5 Application of Frequency Response: Signal Filters 44 Dynamic Sytem Second order lowpa filter having tranfer function H()=H ()H () u H () H () y Firt order lowpa filter Figure 5.5: Contruction of a econd order low-pa filter by combining two firt order

More information

EE/ME/AE324: Dynamical Systems. Chapter 8: Transfer Function Analysis

EE/ME/AE324: Dynamical Systems. Chapter 8: Transfer Function Analysis EE/ME/AE34: Dynamical Sytem Chapter 8: Tranfer Function Analyi The Sytem Tranfer Function Conider the ytem decribed by the nth-order I/O eqn.: ( n) ( n 1) ( m) y + a y + + a y = b u + + bu n 1 0 m 0 Taking

More information

Comparing Means: t-tests for Two Independent Samples

Comparing Means: t-tests for Two Independent Samples Comparing ean: t-tet for Two Independent Sample Independent-eaure Deign t-tet for Two Independent Sample Allow reearcher to evaluate the mean difference between two population uing data from two eparate

More information

A Simple Approach to Synthesizing Naïve Quantized Control for Reference Tracking

A Simple Approach to Synthesizing Naïve Quantized Control for Reference Tracking A Simple Approach to Syntheizing Naïve Quantized Control for Reference Tracking SHIANG-HUA YU Department of Electrical Engineering National Sun Yat-Sen Univerity 70 Lien-Hai Road, Kaohiung 804 TAIAN Abtract:

More information

DYNAMIC MODELS FOR CONTROLLER DESIGN

DYNAMIC MODELS FOR CONTROLLER DESIGN DYNAMIC MODELS FOR CONTROLLER DESIGN M.T. Tham (996,999) Dept. of Chemical and Proce Engineering Newcatle upon Tyne, NE 7RU, UK.. INTRODUCTION The problem of deigning a good control ytem i baically that

More information

USING NONLINEAR CONTROL ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS

USING NONLINEAR CONTROL ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS October 12-17, 28, Beijing, China USING NONLINEAR CONTR ALGORITHMS TO IMPROVE THE QUALITY OF SHAKING TABLE TESTS T.Y. Yang 1 and A. Schellenberg 2 1 Pot Doctoral Scholar, Dept. of Civil and Env. Eng.,

More information

Today s Lecture. Block Diagrams. Block Diagrams: Examples. Block Diagrams: Examples. Closed Loop System 06/03/2017

Today s Lecture. Block Diagrams. Block Diagrams: Examples. Block Diagrams: Examples. Closed Loop System 06/03/2017 06/0/07 UW Britol Indutrial ontrol UFMF6W-0- ontrol Sytem ngineering UFMUY-0- Lecture 5: Block Diagram and Steady State rror Today Lecture Block diagram to repreent control ytem Block diagram manipulation

More information

Control of Delayed Integrating Processes Using Two Feedback Controllers R MS Approach

Control of Delayed Integrating Processes Using Two Feedback Controllers R MS Approach Proceeding of the 7th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in ENGINEERING (ICOSSSE '8) Control of Delayed Integrating Procee Uing Two Feedback Controller R MS Approach LIBOR

More information

Sampling and the Discrete Fourier Transform

Sampling and the Discrete Fourier Transform Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at

More information

EXTENDED STABILITY MARGINS ON CONTROLLER DESIGN FOR NONLINEAR INPUT DELAY SYSTEMS. Otto J. Roesch, Hubert Roth, Asif Iqbal

EXTENDED STABILITY MARGINS ON CONTROLLER DESIGN FOR NONLINEAR INPUT DELAY SYSTEMS. Otto J. Roesch, Hubert Roth, Asif Iqbal EXTENDED STABILITY MARGINS ON CONTROLLER DESIGN FOR NONLINEAR INPUT DELAY SYSTEMS Otto J. Roech, Hubert Roth, Aif Iqbal Intitute of Automatic Control Engineering Univerity Siegen, Germany {otto.roech,

More information

The state variable description of an LTI system is given by 3 1O. Statement for Linked Answer Questions 3 and 4 :

The state variable description of an LTI system is given by 3 1O. Statement for Linked Answer Questions 3 and 4 : CHAPTER 6 CONTROL SYSTEMS YEAR TO MARKS MCQ 6. The tate variable decription of an LTI ytem i given by Jxo N J a NJx N JN K O K OK O K O xo a x + u Kxo O K 3 a3 OKx O K 3 O L P L J PL P L P x N K O y _

More information

THE PARAMETERIZATION OF ALL TWO-DEGREES-OF-FREEDOM SEMISTRONGLY STABILIZING CONTROLLERS. Tatsuya Hoshikawa, Kou Yamada and Yuko Tatsumi

THE PARAMETERIZATION OF ALL TWO-DEGREES-OF-FREEDOM SEMISTRONGLY STABILIZING CONTROLLERS. Tatsuya Hoshikawa, Kou Yamada and Yuko Tatsumi International Journal of Innovative Computing, Information Control ICIC International c 206 ISSN 349-498 Volume 2, Number 2, April 206 pp. 357 370 THE PARAMETERIZATION OF ALL TWO-DEGREES-OF-FREEDOM SEMISTRONGLY

More information

Lecture 9: Shor s Algorithm

Lecture 9: Shor s Algorithm Quantum Computation (CMU 8-859BB, Fall 05) Lecture 9: Shor Algorithm October 7, 05 Lecturer: Ryan O Donnell Scribe: Sidhanth Mohanty Overview Let u recall the period finding problem that wa et up a a function

More information

A PLC BASED MIMO PID CONTROLLER FOR MULTIVARIABLE INDUSTRIAL PROCESSES

A PLC BASED MIMO PID CONTROLLER FOR MULTIVARIABLE INDUSTRIAL PROCESSES ABCM Sympoium Serie in Mechatronic - Vol. 3 - pp.87-96 Copyright c 8 by ABCM A PLC BASE MIMO PI CONOLLE FO MULIVAIABLE INUSIAL POCESSES Joé Maria Galvez, jmgalvez@ufmg.br epartment of Mechanical Engineering

More information

Figure 1: Unity Feedback System

Figure 1: Unity Feedback System MEM 355 Sample Midterm Problem Stability 1 a) I the following ytem table? Solution: G() = Pole: -1, -2, -2, -1.5000 + 1.3229i, -1.5000-1.3229i 1 ( + 1)( 2 + 3 + 4)( + 2) 2 A you can ee, all pole are on

More information

Chapter 10. Closed-Loop Control Systems

Chapter 10. Closed-Loop Control Systems hapter 0 loed-loop ontrol Sytem ontrol Diagram of a Typical ontrol Loop Actuator Sytem F F 2 T T 2 ontroller T Senor Sytem T TT omponent and Signal of a Typical ontrol Loop F F 2 T Air 3-5 pig 4-20 ma

More information

ECE382/ME482 Spring 2004 Homework 4 Solution November 14,

ECE382/ME482 Spring 2004 Homework 4 Solution November 14, ECE382/ME482 Spring 2004 Homework 4 Solution November 14, 2005 1 Solution to HW4 AP4.3 Intead of a contant or tep reference input, we are given, in thi problem, a more complicated reference path, r(t)

More information

Fractional-Order PI Speed Control of a Two-Mass Drive System with Elastic Coupling

Fractional-Order PI Speed Control of a Two-Mass Drive System with Elastic Coupling Fractional-Order PI Speed Control of a Two-Ma Drive Sytem with Elatic Coupling Mohammad Amin Rahimian, Mohammad Saleh Tavazoei, and Farzad Tahami Electrical Engineering Department, Sharif Univerity of

More information

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

R. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder R. W. Erickon Department of Electrical, Computer, and Energy Engineering Univerity of Colorado, Boulder Cloed-loop buck converter example: Section 9.5.4 In ECEN 5797, we ued the CCM mall ignal model to

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

Compensation Techniques

Compensation Techniques D Compenation ehnique Performane peifiation for the loed-loop ytem Stability ranient repone Æ, M (ettling time, overhoot) or phae and gain margin Steady-tate repone Æ e (teady tate error) rial and error

More information

Reduction of Multiple Subsystems

Reduction of Multiple Subsystems F I V E Reduction of Multiple Subytem SOLUTIONS TO CASE STUDIES CHALLENGES Antenna Control: Deigning a Cloed-Loop Repone a. Drawing the block diagram of the ytem: u i + - Pot 0 Π Pre amp K Power amp 50

More information

DYNAMIC REDESIGN OF A FLOW CONTROL SERVO-VALVE USING A PRESSURE CONTROL PILOT

DYNAMIC REDESIGN OF A FLOW CONTROL SERVO-VALVE USING A PRESSURE CONTROL PILOT Proceeding of IMECE ASME International Mechanical Engineering Congre & Exhibition November -6,, New York, New York, USA IMECE/DSC-B- DYNAMIC REDESIGN OF A FLOW CONTROL SERVO-VALVE USING A PRESSURE CONTROL

More information

Robust Decentralized Design of H -based Frequency Stabilizer of SMES

Robust Decentralized Design of H -based Frequency Stabilizer of SMES International Energy Journal: Vol. 6, No., Part, June 005-59 Robut Decentralized Deign of H -baed Frequency Stabilizer of SMES www.erd.ait.ac.th/reric C. Vorakulpipat *, M. Leelajindakrirerk *, and I.

More information

A Comparative Study on Control Techniques of Non-square Matrix Distillation Column

A Comparative Study on Control Techniques of Non-square Matrix Distillation Column IJCTA, 8(3), 215, pp 1129-1136 International Science Pre A Comparative Study on Control Technique of Non-quare Matrix Ditillation Column 1 S Bhat Vinayambika, 2 S Shanmuga Priya, and 3 I Thirunavukkarau*

More information

Lag-Lead Compensator Design

Lag-Lead Compensator Design Lag-Lead Compenator Deign ELEC 3 Spring 08 Lag or Lead Struture A bai ompenator onit of a gain, one real pole and one real zero Two type: phae-lead and phae-lag Phae-lead: provide poitive phae hift and

More information

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems A Simplified Methodology for the Synthei of Adaptive Flight Control Sytem J.ROUSHANIAN, F.NADJAFI Department of Mechanical Engineering KNT Univerity of Technology 3Mirdamad St. Tehran IRAN Abtract- A implified

More information

H DESIGN OF ROTOR FLUX ORIENTED CONTROLLED INDUCTION

H DESIGN OF ROTOR FLUX ORIENTED CONTROLLED INDUCTION H DESIGN OF ROTOR FLUX ORIENTED CONTROLLED INDUCTION MOTOR DRIVES: SPEED CONTROL, STABILITY ROBUSTNESS AND NOISE ATTENUATION João C. Bailio,, Joé A. Silva Jr.,, Jr., and Lui G. B. Rolim, Member, IEEE,

More information

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog Chapter Sampling and Quantization.1 Analog and Digital Signal In order to invetigate ampling and quantization, the difference between analog and digital ignal mut be undertood. Analog ignal conit of continuou

More information

Sliding Mode Control of a Dual-Fuel System Internal Combustion Engine

Sliding Mode Control of a Dual-Fuel System Internal Combustion Engine Proceeding of the ASME 9 Dynamic Sytem and Control Conference DSCC9 October -4, 9, Hollywood, California, USA DSCC9-59 Control of a Dual-Fuel Sytem Internal Combution Engine Stephen Pace Department of

More information

CONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is

CONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is CONTROL SYSTEMS Chapter 5 : Root Locu Diagram GATE Objective & Numerical Type Solution Quetion 1 [Work Book] [GATE EC 199 IISc-Bangalore : Mark] The tranfer function of a cloed loop ytem i T () where i

More information

Lecture 10 Filtering: Applied Concepts

Lecture 10 Filtering: Applied Concepts Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering

More information

Stability. ME 344/144L Prof. R.G. Longoria Dynamic Systems and Controls/Lab. Department of Mechanical Engineering The University of Texas at Austin

Stability. ME 344/144L Prof. R.G. Longoria Dynamic Systems and Controls/Lab. Department of Mechanical Engineering The University of Texas at Austin Stability The tability of a ytem refer to it ability or tendency to eek a condition of tatic equilibrium after it ha been diturbed. If given a mall perturbation from the equilibrium, it i table if it return.

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system 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

More information

Lecture 6: Resonance II. Announcements

Lecture 6: Resonance II. Announcements EES 5 Spring 4, Lecture 6 Lecture 6: Reonance II EES 5 Spring 4, Lecture 6 Announcement The lab tart thi week You mut how up for lab to tay enrolled in the coure. The firt lab i available on the web ite,

More information

Exercises for lectures 20 Digital Control

Exercises for lectures 20 Digital Control Exercie for lecture 0 Digital Control Micael Šebek Automatic control 06-4- Sampling: and z relationip for complex pole Continuou ignal Laplace tranform wit pole Dicrete ignal z-tranform, t y( t) e in t,

More information

Main Topics: The Past, H(s): Poles, zeros, s-plane, and stability; Decomposition of the complete response.

Main Topics: The Past, H(s): Poles, zeros, s-plane, and stability; Decomposition of the complete response. EE202 HOMEWORK PROBLEMS SPRING 18 TO THE STUDENT: ALWAYS CHECK THE ERRATA on the web. Quote for your Parent' Partie: 1. Only with nodal analyi i the ret of the emeter a poibility. Ray DeCarlo 2. (The need

More information

Modeling and Simulation of a Two-Mass Resonant System with Speed Controller

Modeling and Simulation of a Two-Mass Resonant System with Speed Controller International ournal of Information and Electronic Engineering, Vol. 3, No. 5, eptember 203 odeling and imulation of a Two-a Reonant ytem with peed ontroller Ghazanfar hahgholian, ember, IAIT Abtract The

More information

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis Proceeding of 01 4th International Conference on Machine Learning and Computing IPCSIT vol. 5 (01) (01) IACSIT Pre, Singapore Evolutionary Algorithm Baed Fixed Order Robut Controller Deign and Robutne

More information

arxiv: v1 [cs.sy] 24 May 2018

arxiv: v1 [cs.sy] 24 May 2018 No More Differentiator in : Development of Nonlinear Lead for Preciion Mechatronic Arun Palanikumar, Niranjan Saikumar, S. Haan HoeinNia arxiv:5.973v [c.sy] May Abtract Indutrial conit of three element:

More information

A Study on Simulating Convolutional Codes and Turbo Codes

A Study on Simulating Convolutional Codes and Turbo Codes A Study on Simulating Convolutional Code and Turbo Code Final Report By Daniel Chang July 27, 2001 Advior: Dr. P. Kinman Executive Summary Thi project include the deign of imulation of everal convolutional

More information