Figure 1 Siemens PSSE Web Site
|
|
- Sarah Rose
- 5 years ago
- Views:
Transcription
1 Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of critical imortance. The tability of a ytem may be determined by conidering it reone to a mall change in any inut arameter. A table ytem will quickly ettle into a new teady tate with erha a few raidly decaying ring during the tranition. An untable ytem will tart to ocillate and the magnitude of the ocillation will grow rather than decay. Since any real life ytem i alway ubject to ome minor erturbation an untable ytem doe not need any inut to tart ocillating in ractie but will ring away of it own accord.. One method of determining the tability of a ower ytem i through comuter imulation. We have een how a general uroe imulation tool like Simulink can be ued. There are alo a number of dedicated Power Sytem analyi tool that are widely ued by network oerator for modelling their ytem. PSSE from Siemen i one of the mot well known and i ued by Eirgrid in modelling the Irih National Grid.. Figure Siemen PSSE Web Site 3. While comuter are a owerful aid to analying network and ytem there are alo a number of manual technique that may alo be ued. Thee technique often give a better inight into the actual rocee involved and may hel an engineer get a better undertanding of how a ytem work. Of coure it i not ractical to analye very large ytem uch a a comlete electric ower ytem by hand. Neverthele it i often oible to analye maller ection manually or indeed to imlify large ytem by identifying the dominant element and focuing on thoe.
2 4. In the Coure on Power Electronic we looked at the Nyquit tability analyi technique. Nyquit focued on the oen loo reone of a negative feedback control ytem. In thi coure we will look briefly at another technique the Routh Criterion which can be ued to determine whether or not any given ytem i table by looking at the root of the characteritic equation. The Characteritic Equation If we take a ingle inut ingle outut linear ytem whoe tranfer function i: Out() = N()/D() * In() In() N() D() Out() Then it can be hown that the tability of the ytem i determined by the denominator of the tranfer function: D() The Characteritic Equation of the ytem i obtained by etting the denominator to zero: D() = 0 The olution to thi equation are known a the ole of the ytem. (For reference the olution of N()=0 are known a zeroe but thee are not conidered in tability analyi. ) It can be hown that a long a D() ha only real number coefficient (which it will have becaue the coefficient come from real world arameter) then the ole will either be individual real number or air of comlex conjugate. The real number ole correond to firt order low a filter term (the real number rereent the corner frequencie of thee firt order filter in radian er econd). The comlex conjugate air rereent econd order low a filter which may be damed or undamed (ocillatory) and whoe reonant frequency (in radian er econd) i equal to the magnitude of the comlex number.
3 Examle of ole Take a ytem with the following tranfer function: 4 6 Out( ) = In( ) The characteritic equation i D() = =0 We can olve thi by factoriing: (4)(j)(-j) = 0 Setting each factor to zero give u the ole The ole are =-4, =--j and =-j =-4 rereent a firt order low a term at a corner frequency of 4 rad/ the comlex air -/-j rereent a econd order low a filter at a reonant frequency of.3 rad/ (where.3 = magnitude of -j) Routh Stability Criterion The Routh Stability Criterion (often called the Routh Hurwitz Stability Criterion) tate that any ole with negative oitive real coefficient i table while any ole with a oitive real coefficient i untable. Imaginary Axi (j) Left Half Plane Pole Stable Right Half Plane Pole Untable Real If we lot the ole on a comlex number lane we can ay that any ole in the right half lane (oitive real coefficient) i untable. Comlex ole in the left half lane are table damed ocillation but the further they are from the imaginary axi the more table they are. Note that right half lane air of comlex ole rereent untable reonant frequencie while right half lane real ole indicate DC intability (the outut dc level will continually increae or decreae).
4 Alying the Routh Stability Criterion Given a block diagram of a control ytem with one outut the Routh tabililty criterion can be alied a follow:. Ue block diagram maniulation to convert the ytem into a ingle inut/ ingle outut negative feedback ytem.. The tranfer function of the cloed loo ytem may be extracted now: G( ) Out( ) = In( ) G( ) H ( ) 3. Multily out G/(GH) to get the numerator and denominator a traight olynomial 3. Take the denominator of the tranfer function and et D() = 0 a the characteritic equation. 4. Ue the coefficient of the characteritic equation to contruct a Routh Array (exlained later) 5. By examining the Firt column of the Routh array we can tell the following: Each change of ign in column indicate a root with a oitive real art. So for tability every element in the firt column mut have the ame ign (either oitive or negative). 6. It hould be noted that the Routh table imly anwer the quetion: How many untable right half lane ole are there? It can tell u if a ytem i table or not. It doe not give more information about how cloe a table ytem i to intability. You can however ue algebraic exreion in a Routh table to determine the tability limiting value of certain arameter, for examle a gain term.
5 Uing the Routh Method. A number of excellent exlanation of the Routh - Hurwitz method are available online. For convenience I will rerint a fairly uccinct exlanation from Dr. Jame amman from Wet Michigan Univerity available online from htt:// From: Jame ammen: Coure ME 3600 Control Sytem.
6 Samle Problem The Diagram above how a block diagram of the mall ignal dynamic reone of a ower ytem with one generator connected to an infinite bu. R i the generator droo = 5.0Hz / umw G gt () i the combined turbine / generator tranfer function. You may aume that the magnitude of G gt () i.0 and that the time contant of G gt () are mall enough to be neglected for the uroe of thi analyi /(τ ) i a mall ignal linearied model of the mechanical inertia and daming ytem. In thi cae = 00Hz/uMW and τ =5 A mall ignal model of ower tranmitted from the generator to the network (P E ) ha hown that P E ()=. δ(). E ' () where = 0.8 umw/rad and = 0.7 umw/uv at the current oerating oint. No voltage regulator i fitted. Ue the Routh tability criterion to determine whether or not the ytem i dynamically table at thi oerating oint.
7 Solution (a) The firt te i to ue block diagram maniulation to make thi ytem into a ingle inut ingle outut negative feedback ytem hown below. Taking note of the fact that G gt () =.0 and moving the internal umming junction to the left we can eventually arrive at: For the uroe of tability we can conider thi to be a ingle inut ingle outut ytem with inut = P c ()-. E'() and outut = δ() The cloed loo tranfer function of the loo may now be readily extracted = R GH G gainhi feedback gaingand forward function with Cloed loo tranfer ) ( : τ The characteritic equation i got by making the denominator of the loo tranfer function equal to 0: 0 0 ) ( = = R imlifying R τ τ
8 Before contructing a Routh table we will lug in the arameter from the roblem: R = 5.0Hz / umw = 00Hz/uMW τ =5 = 0.8 umw/rad The characteritic Equation become: = = 0 o a=5, a= and a0=50 Now we can contruct a Routh Table: Col Col Col 3 Row a =5 a 0 =50 Row a = Row 0 b =(-/ a)(a.0- a0.a) =50 Now looking at the element of column : 5, and 50 we can ee that there are no change of ign. Therefore thi ytem ha no ole in the right half lane and i table.
9 A comment on Voltage Regulation The ower ytem analyed in the amle roblem above ha no voltage regulator fitted. Fitting a voltage regulator modifie the control loo: We could treat terminal voltage a an internal variable in order to make the ytem ingle outut and aly Routh but it i oible to make ome general obervation without additional analyi. Firt it may be noted that a voltage regulator ue negative feedback to tabilie terminal voltage and thi might be exected to enhance overall ytem tability. However the deendence of terminal voltage on ower angle δ combined with the deendence δ on excitation voltage E' mean that the voltage regulation loo and the ower angle loo are very cloely couled. Notice that without a voltage regulator any mall increae in δ will tend to increae electrical tranmitted ower Pe lowing the machine down which will lead to a tabiliing reduction in δ. However if a voltage regulator i fitted it will ick u the mall increae in voltage caued by a mall increae in δ and reduce E' to comenate. Reducing E' will reduce tranmitted electrical ower Pe leading to a further detabiliing increae in δ. The relative imortance of thee two effect deend on the relative value of and which deend on the co and ine of the oerating ower angle reectively. We can conclude that careful tuning will be required to enure that a voltage regulator doe not detabilie the ytem.
10
Control Systems. Root locus.
Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How
More informationControl Systems. Root locus.
Control Sytem Root locu chibum@eoultech.ac.kr Outline Concet of Root Locu Contructing root locu Control Sytem Root Locu Stability and tranient reone i cloely related with the location of ole in -lane How
More informationROOT LOCUS. Poles and Zeros
Automatic Control Sytem, 343 Deartment of Mechatronic Engineering, German Jordanian Univerity ROOT LOCUS The Root Locu i the ath of the root of the characteritic equation traced out in the - lane a a ytem
More informationSystems Analysis. Prof. Cesar de Prada ISA-UVA
Sytem Analyi Prof. Cear de Prada ISAUVA rada@autom.uva.e Aim Learn how to infer the dynamic behaviour of a cloed loo ytem from it model. Learn how to infer the change in the dynamic of a cloed loo ytem
More informationFeedback Control Systems (FCS)
Feedback Control Sytem (FCS) Lecture19-20 Routh-Herwitz Stability Criterion Dr. Imtiaz Huain email: imtiaz.huain@faculty.muet.edu.pk URL :http://imtiazhuainkalwar.weebly.com/ Stability of Higher Order
More informationChapter 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 informationStability Criterion Routh Hurwitz
EES404 Fundamental of Control Sytem Stability Criterion Routh Hurwitz DR. Ir. Wahidin Wahab M.Sc. Ir. Arie Subiantoro M.Sc. Stability A ytem i table if for a finite input the output i imilarly finite A
More informationRoot 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 informationME2142/ME2142E Feedback Control Systems
Root Locu Analyi Root Locu Analyi Conider the cloed-loop ytem R + E - G C B H The tranient repone, and tability, of the cloed-loop ytem i determined by the value of the root of the characteritic equation
More informationChapter 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 informationDesign of Two-Channel Low-Delay FIR Filter Banks Using Constrained Optimization
contrained otimization, CIT Journal of Comuting and Information Technology, vol. 8, no 4,. 34 348, 2. Deign of Two-Channel Low-Delay FIR Filter Bank Uing Contrained Otimization Abtract Robert Bregović
More informationAnalysis 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 informationCONTROL 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 informationUSE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN THE LABORATORY OF THE UNIVERSITY OF TENNESSEE AT CHATANOOGAA.
USE OF INTERNET TO DO EXPERIMENTS IN DYNAMICS AND CONTROL FROM ZACATECAS MEXICO IN TE LABORATORY OF TE UNIVERSITY OF TENNESSEE AT CATANOOGAA. Jim enry *, Joé Alberto González Guerrero, Benito Serrano Roale..
More informationFunction 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 informationMarch 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 informationinto 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 informationAnalysis the Transient Process of Wind Power Resources when there are Voltage Sags in Distribution Grid
Analyi the Tranient Proce of Wind Power Reource when there are Voltage Sag in Ditribution Grid Do Nhu Y 1,* 1 Hanoi Univerity of ining and Geology, Deartment of Electrification, Electromechanic Faculty,
More informationGiven 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 informationx with A given by (6.2.1). The control ( ) ( )
Homework 5 Sring 9 AerE33 Due 4/(F) SOLUTION PROBLEM (3t) In thi roblem we will invetigate the longitudinal dynamic of the B747 airlane a decribed in Etkin 66 The tate model i x Ax Bu where the tate vector
More informationECSE 4440 Control System Engineering. Project 1. Controller Design of a Second Order System TA
ECSE 4440 Control Sytem Enineerin Project 1 Controller Dein of a Secon Orer Sytem TA Content 1. Abtract. Introuction 3. Controller Dein for a Sinle Penulum 4. Concluion 1. Abtract The uroe of thi roject
More informationStability. 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 informationLecture 10. Erbium-doped fiber amplifier (EDFA) Raman amplifiers Have replaced semiconductor optical amplifiers in the course
ecture 1 Two tye of otical amlifier: Erbium-doed fiber amlifier (EDFA) Raman amlifier Have relaced emiconductor otical amlifier in the coure Fiber Otical Communication ecture 1, Slide 1 Benefit and requirement
More informationAutomatic Control Systems. Part III: Root Locus Technique
www.pdhcenter.com PDH Coure E40 www.pdhonline.org Automatic Control Sytem Part III: Root Locu Technique By Shih-Min Hu, Ph.D., P.E. Page of 30 www.pdhcenter.com PDH Coure E40 www.pdhonline.org VI. Root
More informationLinear System Fundamentals
Linear Sytem Fundamental MEM 355 Performance Enhancement of Dynamical Sytem Harry G. Kwatny Department of Mechanical Engineering & Mechanic Drexel Univerity Content Sytem Repreentation Stability Concept
More informationOperational transconductance amplifier based voltage-mode universal filter
Indian Journal of Pure & Alied Phyic ol. 4, etember 005,. 74-79 Oerational tranconductance amlifier baed voltage-mode univeral filter Naeem Ahmad & M R Khan Deartment of Electronic and Communication Engineering,
More informationDelhi 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 informationControl 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 informationS_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 informationCHAPTER 5. The Operational Amplifier 1
EECE22 NETWORK ANALYSIS I Dr. Charle J. Kim Cla Note 9: Oerational Amlifier (OP Am) CHAPTER. The Oerational Amlifier A. INTRODUCTION. The oerational amlifier or o am for hort, i a eratile circuit building
More informationLecture 12: Examples of Root Locus Plots. Dr. Kalyana Veluvolu. Lecture 12: Examples of Root Locus Plots Dr. Kalyana Veluvolu
ROOT-LOCUS ANALYSIS Example: Given that G( ) ( + )( + ) Dr. alyana Veluvolu Sketch the root locu of 1 + G() and compute the value of that will yield a dominant econd order behavior with a damping ratio,
More informationMANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS
MANUFACTURING TOLERANCES AS A CAUSE FOR AUDIBLE NOISE OF INDUCTION MOTORS Delaere K., Franen J., Hameyer K., Belman R. Katholieke Univeriteit Leuven, De. EE (ESAT) Div. ELEN, Kardinaal Mercierlaan 94,
More informationNODIA AND COMPANY. GATE SOLVED PAPER Electronics & Communication Control System. Copyright By NODIA & COMPANY
No art of thi ublication may be reroduced ditributed in any fm any mean, electronic, mechanical, hotocoying, otherwie without the ri ermiion of the auth. ATE OLVED PAPER Electronic & Communication Control
More informationFigure 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 informationSimulation of Wound Rotor Synchronous Machine under Voltage Sags
Simulation of Wound Rotor Synchronou Machine under oltage Sag D. Aguilar, G. azquez, Student Member, IEEE, A. Rolan, Student Member, IEEE, J. Rocabert, Student Member, IEEE, F. Córcole, Member, IEEE, and
More informationOVERSHOOT FREE PI CONTROLLER TUNING BASED ON POLE ASSIGNMENT
OVERSHOO FREE PI CONROER UNING BASED ON POE ASSIGNMEN Nevra Bayhan * Mehmet uran Söylemez ** uğba Botan ** e-mail: nevra@itanbul.edu.tr e-mail: oylemez@el.itu.edu.tr e-mail: botan@itu.edu.tr * Itanbul
More informationLecture 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 information55:041 Electronic Circuits
55:04 Electronic ircuit Frequency eone hater 7 A. Kruger Frequency eone- ee age 4-5 o the Prologue in the text Imortant eview v = M co ωt + θ m = M e e j ωt+θ m = e M e jθ me jωt Thi lead to the concet
More information11.5 MAP Estimator MAP avoids this Computational Problem!
.5 MAP timator ecall that the hit-or-mi cot function gave the MAP etimator it maimize the a oteriori PDF Q: Given that the MMS etimator i the mot natural one why would we conider the MAP etimator? A: If
More informationNAME (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 informationSolutions. 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 informationME 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 informationME 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 informationIntroduction to Laplace Transform Techniques in Circuit Analysis
Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found
More informationAli Karimpour Associate Professor Ferdowsi University of Mashhad
LINEAR CONTROL SYSTEMS Ali Karimour Aoiate Profeor Ferdowi Univerity of Mahhad Leture 0 Leture 0 Frequeny domain hart Toi to be overed inlude: Relative tability meaure for minimum hae ytem. ain margin.
More informationEfficiency Optimal of Inductive Power Transfer System Using the Genetic Algorithms Jikun Zhou *, Rong Zhang, Yi Zhang
International Conference on echanical Science and Engineering (ICSE5 Efficiency Otimal of Inductive Power Tranfer Sytem Uing the Genetic Algorithm Jikun Zhou *, ong Zhang, Yi Zhang Intitute of ytem engineering,
More informationRoot 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 informationLecture 3. Dispersion and waves in cold plasma. Review and extension of the previous lecture. Basic ideas. Kramers-Kronig relations
Lecture 3 Dierion and wave in cold lama Review and extenion of the reviou lecture Baic idea At the reviou lecture, we dicued how to roerly earch for eigenmode (or quai-eigenmode) of a dierive medium. In
More informationRADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE
XVII IMEKO World Congre Metrology in the 3rd Millennium June 22 27, 2003, Dubrovnik, Croatia RADIATION THERMOMETRY OF METAL IN HIGH TEMPERATURE FURNACE Tohru Iuchi, Tohru Furukawa and Nobuharu Sato Deartment
More informationMassachusetts 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 informationGain 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 informationQuestion 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 informationLecture 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 informationAdvanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment
Journal of Multidiciplinary Engineering Science and Technology (JMEST) ISSN: 59- Vol. Iue, January - 5 Advanced D-Partitioning Analyi and it Comparion with the haritonov Theorem Aement amen M. Yanev Profeor,
More informationMidterm 3 Review Solutions by CC
Midterm Review Solution by CC Problem Set u (but do not evaluate) the iterated integral to rereent each of the following. (a) The volume of the olid encloed by the arabaloid z x + y and the lane z, x :
More informationMODERN 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 informationEE 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 informationLecture 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 informationDigital 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 informationControl 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 informationImproved Adaptive Time Delay Estimation Algorithm Based on Fourth-order Cumulants
Available online www.jocr.com Journal of hemical and Pharmaceutical Reearch, 016, 8(5):889-894 Reearch Article ISSN : 0975-784 ODEN(USA) : JPR5 Imroved Adative Time Delay Etimation Algorithm Baed on Fourth-order
More informationDesigning Control Loops for Linear and Switching Power Supplies: A Tutorial Guide Christophe Basso October 2012 Last update March 3 rd 2014
Deigning Control Loo for Linear and Switching Power Sulie: A Tutorial Guide Chritohe Bao October Lat udate March 3 rd 4 Correction of tyo, mitake and error found by reader or by the author himelf. Secial
More informationDepartment 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 informationME 375 EXAM #1 Tuesday February 21, 2006
ME 375 EXAM #1 Tueday February 1, 006 Diviion Adam 11:30 / Savran :30 (circle one) Name Intruction (1) Thi i a cloed book examination, but you are allowed one 8.5x11 crib heet. () You have one hour to
More informationAnalysis of Feedback Control Systems
Colorado Shool of Mine CHEN403 Feedbak Control Sytem Analyi of Feedbak Control Sytem ntrodution to Feedbak Control Sytem 1 Cloed oo Reone 3 Breaking Aart the Problem to Calulate the Overall Tranfer Funtion
More informationMEM 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 informationSocial Studies 201 Notes for March 18, 2005
1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationWhat 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 informationModule 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 informationLecture 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 informationEE 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 informationDo Dogs Know Bifurcations?
Do Dog Know Bifurcation? Roland Minton Roanoke College Salem, VA 4153 Timothy J. Penning Hoe College Holland, MI 4943 Elvi burt uon the mathematical cene in May, 003. The econd author article "Do Dog Know
More informationSIMON 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 informationELECTRONIC FILTERS. Celso José Faria de Araújo, M.Sc.
ELECTRONIC FILTERS Celo Joé Faria de Araújo, M.Sc. A Ideal Electronic Filter allow ditortionle tranmiion of a certain band of frequencie and ure all the remaining frequencie of the ectrum of the inut ignal.
More informationThe 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 informationBogoliubov Transformation in Classical Mechanics
Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How
More informationHomework #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 informationNonlinear Single-Particle Dynamics in High Energy Accelerators
Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction
More informationonline learning Unit Workbook 4 RLC Transients
online learning Pearon BTC Higher National in lectrical and lectronic ngineering (QCF) Unit 5: lectrical & lectronic Principle Unit Workbook 4 in a erie of 4 for thi unit Learning Outcome: RLC Tranient
More informationHomework 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 informationSingular perturbation theory
Singular perturbation theory Marc R. Rouel June 21, 2004 1 Introduction When we apply the teady-tate approximation (SSA) in chemical kinetic, we typically argue that ome of the intermediate are highly
More informationDesign 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 informationThe 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 informationSocial Studies 201 Notes for November 14, 2003
1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationEE Control Systems LECTURE 6
Copyright FL Lewi 999 All right reerved EE - Control Sytem LECTURE 6 Updated: Sunday, February, 999 BLOCK DIAGRAM AND MASON'S FORMULA A linear time-invariant (LTI) ytem can be repreented in many way, including:
More informationThe Winding Path to RL
Markov Deciion Procee MDP) Ron Parr ComSci 70 Deartment of Comuter Science Duke Univerity With thank to Kri Hauer for ome lide The Winding Path to RL Deciion Theory Decritive theory of otimal behavior
More informationCorrection for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002
Correction for Simple Sytem Example and Note on Laplace Tranform / Deviation Variable ECHE 55 Fall 22 Conider a tank draining from an initial height of h o at time t =. With no flow into the tank (F in
More informationG(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 informationMAE140 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 informationLecture 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 informationChapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem
Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,
More informationA 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 informationMM1: 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 information55:041 Electronic Circuits
55:04 Electronic ircuit Frequency epone hapter 7 A. Kruger Frequency epone- ee page 4-5 of the Prologue in the text Important eview co Thi lead to the concept of phaor we encountered in ircuit In Linear
More informationCHAPTER 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 informationLecture 6. Erbium-doped fiber amplifier (EDFA) Raman amplifiers Have replaced semiconductor optical amplifiers in the course
Lecture 6 wo tye of otical amlifier: Erbium-doed fiber amlifier (EDFA) Raman amlifier Have relaced emiconductor otical amlifier in the coure Fiber Otical Communication Lecture 6, Slide 1 Benefit and requirement
More informationConvex Hulls of Curves Sam Burton
Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall
More informationFeedforward Control identifiable disturbance measured,
Feeforwar Control So far, mot of the focu of thi coure ha been on feeback control. In certain ituation, the erformance of control ytem can be enhance greatly by the alication of feeforwar control. What
More informationStability regions in controller parameter space of DC motor speed control system with communication delays
Stability region in controller parameter pace of DC motor peed control ytem with communication delay Şahin Sönmez, Saffet Ayaun Department of Electrical and Electronic Engineering, Nigde Univerity, 5124,
More informationR. 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 ZOH: Sampled Data Sytem Example v T Sampler v* H Zero-order hold H v o e = 1 T 1 v *( ) = v( jkω
More information