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

Size: px
Start display at page:

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

Transcription

1 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 Electrical and Computer Engineering Michigan State Univerity Eat Laning, MI 4884 ABSRAC Air-to-fuel (A/F) ratio i the ma ratio of air-to-fuel mixture trapped inide a cylinder before combution begin, and it affect engine emiion, fuel economy, and other performance Uing an A/F ratio and dual-fuel ratio control oriented engine model, a multi-input-multi-output (MIMO) liding mode control cheme i ued to imultaneouly control the ma flow rate of both port fuel injection () and direct injection () ytem he control target i to regulate the A/F ratio at a deired level (eg, at toichiometric) and fuel ratio (ratio of fueling v fueling) to a given deired level between zero and one A MIMO liding mode controller wa deigned with guaranteed tability to drive the ytem A/F and fuel ratio to the deired target under variou air flow diturbance he performance of the liding mode controller wa compared with a baeline multi-loop (Proportional-Integral-Derivative) controller through imulation and howed improvement over the baeline controller INRODUCION Increaing concern about global climate change and everincreaing demand on foil fuel capacity call for reduced emiion and improved fuel economy Vehicle equipped with fuel ytem have been introduced to market globally In order to improve engine full load performance at high peed, oyota introduced an engine with a toichiometric injection ytem with two fuel injector for each cylinder, ee [] One i a injector generating a dual-fan-haped pray with wide diperion, while the other i a port injector he dual-fuel ytem introduce one additional degree of freedom for engine combution optimization to reduce emiion with improved fuel economy Uing gaoline and ethanol dual-fuel ytem to ubtantially increae gaoline engine efficiency i decribed in [] he main idea i to ue a highly booted mall turbocharged Guoming G Zhu Department of Mechanical Engineering Michigan State Univerity Eat Laning, MI 4884 engine to match the performance of a much larger engine Direct injection of ethanol i ued to uppre engine knock at high engine load due to it ubtantial air charge cooling reulting from it high heat of vaporization he control of A/F ratio i an increaingly important control problem due to federal and tate emiion regulation Operating the park ignited internal combution engine at a deired A/F ratio i due to the fact that the highet converion efficiency of a three-way catalyt occur around toichiometric A/F ratio here have been everal fuel control trategie developed for internal combution engine to improve the efficiency and to reduce exhaut emiion A key development in the evolution wa the introduction of a cloed-loop fuel injection control algorithm [], followed by a linear quadratic control method [4], and an optimal control and Kalman filtering deign [5] Specific application of A/F ratio control baed on oberver meaurement in the intake manifold were developed in 99 [6] Another approach wa baed on meaurement of exhaut gae by an oxygen enor and the throttle poition [7] Hedrick alo developed a nonlinear liding mode control of A/F ratio baed upon the oxygen enor feedback [8] he conventional A/F ratio control for automobile ue both cloed-loop feedback and feed forward control to achieve good teady tate and tranient repone he control trategie, mentioned above, were mainly for ytem Mitubihi began to invetigate combution control technologie for direct injection engine in 996 [9] Due to the introduction of internal combution engine with dual-fuel ytem ( and ), control of both A/F ratio and fuel ratio (ratio of fueling v fueling) became part of a combution optimization problem in [] In thi paper, a control oriented nonlinear model of a dualfuel ytem i developed for control development and evaluation Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

2 purpoe, and an MIMO liding model controller i developed to regulate the engine A/F and fuel ratio to target level he control trategy i validated in imulation baed upon the developed dual-fuel ytem model hi paper i organized a follow It begin by preenting a implified A/F and fuel ratio control oriented model, followed by a ection that decribe an innovative liding mode controller that regulate both A/F and fuel ratio to deired nonzero target Next, imulation reult are preented, and finally concluion are dicued AN A/F RAIO AND FUEL RAIO MODEL he control problem of thi work i to vary both and fuel ma injection rate ( and ) o that the engine A/F ratio i regulated at a deired level (eg, toichiometric) and the fuel ratio of effective fueling, m &, to fueling, _ E m & E, i maintained at a deired value a hown _ in Figure Note that the effective fueling for i equal to the injected fuel A/F Ratio toich - F/R deired - m & A/F Ratio _ E F/R Controller air A/F Ratio F/R Engine Model FIGURE : AGRAM OF A/F AND FUEL RAIO CONROL PROBLEM A nonlinear model for thi problem, uing implified engine dynamic to model both the engine A/F and fuel ratio, i to be dicued below he air flow, air, i model a air ω ω ω, () where ω i the nominal air flow and ω i the air flow diturbance due to the engine operational condition change he fuel flow for wall-wetting dynamic from the port fuel injector i modeled by the following tranfer function, from [], _ E ( ) α, () ( ) β where α and β are elected to be 5 and 8, repectively, in thi model he fuel flow from the direct injector contain negligible dynamic Due to the three-way catalyt ued for emiion control, mot engine are deign to achieve a target A/F ratio around toichiometry For thi reearch, we ue a normalized target A/F ratio, λ target, which i defined a deired air-to-fuel ratio divided by toichiometric air-to-fuel ratio (46 for gaoline) Note that at toichiometry the normalized target A/F ratio i equal to one he normalized A/F ratio can be expreed a: λ air 46 () Now, the engine equivalence ratio φ i defined a the invere of relative A/F ratio λ and can be approximated uing equation () and () below φ 46 ω, (4) ω ω where equation () i approximated by a firt order aylor expanion For the ret of the paper, we conider only equivalence ratio control intead of A/F ratio he fuel ratio of the dual-fuel ytem i defined a the effective fueling divided by fueling herefore the fuel ratio, R fuel, i calculated a _ E R fuel (5) _ E Similarly, fuel ratio can be approximated by ubtituting equation (4) into (5), replacing the engine equivalence ratio with the target ratio herefore, ω R 46m fuel / φ _ E t arget ω ω & (6) Although fuel ratio i not directly meaureable, the injected fuel ma rate can be etimated by uing both the meaured equivalence ratio (via oxygen enor) φ m and meaured air flow (via ma air flow enor) ince m & _ et air _ m φ /46 m air _ m Hence, the fuel ratio feedback ignal can be obtained uing multiple enor ignal ( φ m and air _ m ), along with the etimated fueling ma rate _ et (a function of injection pule width), that i, _ et _ et R fuel _ et _ et he control oriented equivalence and fuel ratio model, operating at a fixed engine peed of 5RPM, include wall-wetting dynamic of the fuel ytem, average fuel injection delay (5m), exhaut manifold tranport and oxygen (A/F ratio) enor delay (4m), and air flow travel delay from engine throttle to cylinder (m) hee time delay are approximated by unitary gain firt order tranfer function he complete model i divided into three ubytem, a hown in Figure, where the oxygen enor dynamic are denoted a G, the air flow dynamic a G, and the fuel flow dynamic a G he tate pace equation of the three ubytem are hown in equation (7), (8), and (9) x& A x Bu (7) y Cx x& A x Bω (8) y Cx x& A x Bu (9) y C x D u C [ C C ], Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

3 Air In In Out Out Fuel Flow Dynamic (G) In Out Air Flow Dynamic (G) arget Eq Ratio 4 6 Gain In Out Oxygen Senor Dynamic (G) FIGURE : EQUIVALENCE AND FUEL RAIO MODEL Equivalence Ratio he entire ytem can be expreed by the following tate-pace model A B x& A x CCxx B ω u () A B and the output equation for the equivalence and fuel ratio uing () can be approximated by y EqRatio 46 C C x x () y 46 C x ( C x 65u ) / φ FuelRatio t arg et () he value for the matrice of the engine model are A 5; B 46; C A ; B ; C A - ; B ; -5 C ; D 65 he nonlinear tate pace engine model mut be tranformed into the regular form [] below to apply liding mode control & η f a ( η, δ ( η, ; () z& f ( η, G( η, u, b (4) where the forcing term of equation (), δ(η,, contain the diturbance input ω and f a (η, contain the nonlinear portion of () A change of variable, η x z (5) tranfer the original tate vector, [ x x x x x ] x 5; (6) into the regular form coordinate, where the tranformation matrix i choen uch that η (7) [ x x x 65x ] [ x x (8) z ] hu, the original ytem (repreented in the regular form) i hown in (9) and () It can be een that the model contain two control input correponding to and fueling and one ma air flow diturbance input 5; - 5 η & η -5 η z h( η, - δ - η where f a ( η, -5 z u z& - z u f b ( η, G h ( η, 46η ( η 65z δ ( η, (9) () SLING MODE CONROL SRAEGY Exiting liding mode A/F ratio control application in [] and [4] utilized the binary nature of a HEGO (Heated Exhaut Ga Oxygen) enor to reduce it ocillation reulting from the time delay by uing a dynamic, one dimenional liding urface In thi paper, a two dimenional liding urface i elected to control both equivalence and fuel ratio of the dual-fuel ytem he liding urface i defined a z φ(η), () where the control objective i to regulate to zero by deigning a feedback φ(η) uch that it tabilize equation (9) Chooing z 6η z φ( η) () z -η -η reult in the aymptotic tability at the origin for (9) and decouple the nonlinear dynamic contained in f a (η, from the remaining equation he initial choice of () and conequently () wa to linearize the ytem through feedback and achieve acceptable tabilization of (9) Alo, note that the election of φ(η) doe not contain the tate η and remove it from having any affect on the ytem, which i ignificant ince the tate η contained the input diturbance, δ he election of the control u to cancel the known term of the differentiation of () and the control input v that guarantee aymptotic tability and force toward zero are deigned from [] he reulting control force the ytem tate onto the liding urface in finite time and eventually bring thee tate on the liding urface to zero o achieve the deired nonzero equivalence and fuel ratio, conider η η η ( η η) η η η η () η η z z z ( z z ) z z z z z (4) where and z go to zero, leading η and z converging to the target tate η and z a time goe to infinity ince the liding mode controller regulate the tate,, z, and z to the liding manifold Uing thee target tate, η and z can bring the equivalence ratio and fuel ratio to any deired value o Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

4 invetigate the tability of the ytem with thee new target tate, φ(η) from () i ued and the final ytem become ( η 65z z ) & -5 - δ η ( η 65z z ) 5η 5η 5 η z (5) -5 z u 5 z z& (6) - z u z It can be een that the ytem i linear with contant matrice plu the forcing δ term For entire ytem tability analyi, the characteritic equation of the linear matrix A * i * det( λi A ) ( λ 5)( λ 5)( λ )( λ 5)( λ ) with all eigenvalue in the left half plane, where ( η 65z ) z -5 A* Note that the target tate η and z can be determined with the given input air diturbance and deired equivalence and fuel ratio he following output equation are the reult of coordinate tranformation of () and () (uing (5)) ~ y EqRatio 5η 5 η( η 65z z ) (7) ~ y 46 5 η (46875z 65u ) φ (8) FuelRatio / t arget Conider the tate equation (9) and () at teady tate by etting derivative term equal to zero, leading to the ytem teady-tate tate η and z expreed a a function of the deired output ratio and input diturbance he target tate η and z can be obtained with given target ratio and diturbance he zero target tate liding mode control trategy i modified uch that the cloed-loop ytem converge to the deired target tate, ee Figure air η z Figure : Schematic diagram of liding mode control trategy o improve the performance of the liding mode controller, the tabilizing function φ(η) can be generalized a follow 6 ε z φ( ), (9) - - where ε i a poitive contant Subtituting (9) into (9) yield, - 5 d & η - 5 η ε () ε where d 95 Equation () can be viewed a & η A( ε) g(, ε) () where, - 5 d A( ε ) - 5, ( η, ε ) g ε ε It can been een that A(ε) i Hurwitz if ε > and alo d ε d ε () Let Q I and define X(ε) > a the olution of the Lyapunov equation auming ε > A ( ε ) X ( ε ) X ( ε ) A( ε ) Q he maximum and minimum eigenvalue of X(ε) are plotted a function of ε in Figure ε > 5 5 λ min of X(ε) λ max of X(ε) ε > FIGURE 4: MAXIMUM AND MINIMUM EIGENVALUES OF X(ε) Define the Lyapunov function V() X(ε), leading to the following propertie: -λ λmin ( X ( ε )) V ( ) λmax ( X ( ε )), V A - Q -λmin ( Q), V X X λmax ( X ) he derivative of V() atifie V& ( ) ( A ( ε ) X ( ε ) X ( ε ) A( ε )) εd ( ε ) X min ( Q) λ herefore the origin i exponentially table if max ( X ( ε )) εd () 4 Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

5 V & ( ) < or ε < λmax ( X ( ε )) d (4) he tability condition will hold auming η η η γ for all time, where γ i a poitive contant, and can be retated a: ε < λmax ( X ( ε ))d γ (5) Figure 4 how that λ max (X(ε)) for all ε >, thu ε < < (6) d γ γ 85 γ Equation (6) how that if γ i mall, then there exit an ε > with guaranteed tability SIMULAION RESULS A MIMO controller wa deigned for comparion purpoe to the nonlinear MIMO liding mode controller hi controller cacaded two controller uch that the firt i ued to control the equivalence ratio and the econd PI i ued to reduce the fuel ratio error, ee Figure 5 he controller gain for both and PI controller are hown in able Eq Ratio error Kd Ki Kp Kd Ki Kp Controller error Ki Kp PI Controller FIGURE 5: SCHEMAIC AGRAM OF CONROLLER x Simulation # he imulation ue a contant input diturbance ω of plu 5 percent noie, adding a tep input of 5 to the contant diturbance at the 6 th econd It alo ha a fuel ratio reduction from 6 to 4 at the 9 th econd, and how that the controller reject the diturbance quickly Figure 6 alo how the and fuel control input for both and liding mode controller It can be oberved that the liding mode controller provide quick fueling input of both and ytem, leading to better diturbance rejection and tranient repone over the repone able ummarize the overhoot and ettling time for both and liding mode controller ABLE : COMPARISON OF CONROLLERS FOR SIMULAION # % Overhoot (after 6 th econd) Settling ime (after 9 th econd) e (after th econd) Eq Ratio 59% 44% 6 ec < 5 ec 6 % 6% 9 ec ec Equivalence Ratio All controller gain parameter were tuned uch that the repone of the cloed-loop ytem wa table and had a fat a repone a poible Simulation of the liding mode controller under different air flow input diturbance were conducted and compared to the controller ABLE : AND PI CONROLLER PARAMEERS K p K p 5 K p 5 K i K i K i 5 K p K p 7 he gain matrix β in the liding mode controller for each imulation wa tuned uch that the tranient repone wa acceptable and it wa elected a 6 β 7 (7) A unitary target equivalence ratio and 6% (6) target fuel ratio were choen for each imulation Figure 6 how the cloed-loop repone of the controller and liding mode controller for Fueling Fueling FIGURE 6: CLOSED LOOP RESPONSE OF SIMULAION # 5 Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

6 Equivalence Ratio Fueling ABLE : COMPARISON OF CONROLLERS FOR SIMULAION # % Overhoot (after 6 th econd) Settling ime (after 9 th econd) e (after th econd) Eq Ratio 99% 5% 45 ec 9 ec 8 7 9% 7% 5 ec < ec 4 5 Figure 8 how the cloed-loop repone of both and liding mode controller for Simulation # hi imulation ha an airflow diturbance of zero and ω i equal to unity, which contitute the wide open throttle (WO) cae he imulation decreae the target fuel ratio from 5 to zero (% fueling) Since the engine peed i fixed, WO implie high engine load and the imulation how that complete direct injection fueling can be achieved by the controller, and therefore can be ued to uppre engine knock at high engine load Equivalence Ratio Fueling FIGURE 7: CLOSED LOOP RESPONSE OF SIMULAION # Figure 7 how the cloed-loop repone of both and liding mode controller for Simulation # hi imulation decreae the target equivalence ratio from to 9 at the 6 th econd, and increae it back to unity at the 9 th econd Again, the contant input diturbance ω wa plu 5 percent noie Figure 7 alo diplay both fueling input of and liding mode controller Although the controller ha a fater equivalence ratio repone than the liding mode one, it i under the penalty of the fuel ratio control accuracy (huge pike during the tranition) On the other hand, the liding mode controller provide mooth tranition for both equivalence and fuel ratio herefore, the liding mode control repone are more favorable over the one able ummarize the overhoot and ettling time for both and liding mode controller for Simulation # It i worth to noting 9% fuel ratio overhoot for the controller while the liding mode controller only ha % Fueling Fueling FIGURE 8: CLOSED LOOP RESPONSE OF SIMULAION # 6 Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

7 CONCLUSION A multi-input-multi-output liding mode controller wa developed baed upon the A/F and fuel ratio model to achieve nonzero deired equivalence and fuel ratio target he liding mode controller wa validated with the developed imple nonlinear dual-fuel ytem model and compared to the multi-loop controller he future work i to implement it into a real-time controller REFERENCES [] akuya Ikoma, Shizuo Abe, ukihiro Sonoda, Hiao Suzuki, Yuichi Suzuki, and Maatohi Baaki, Development of V-6 5-liter Engine Adopting New Direct Injection Sytem, SAE [] Lelie Bromberg, Daniel Cohn, and John Heywood, Optimized Fuel Management Sytem for Direct Injection Ethanol Enhancement of Gaoline Engine, US patent application 6/6 [] J G Rivard, "Cloed-loop Electronic Fuel Injection Control of the IC Engine," in Society of Automotive Engineer, 97 [4] J F Caidy, et al, "On the Deign of Electronic Automotive Engine Control uing Linear Quadratic Control heory," IEEE ran on Control Sytem, vol AC-5, October 98 [5] W E Power, "Application of Optimal Control and Kalman Filtering to Automotive Sytem," International Journal of Vehicle Deign, vol Application of Control heory in the Automotive Indutry, 98 [6] N F Benninger, et al, "Requirement and Performance of Engine Management Sytem under ranient Condition," in Society of Automotive Engineer, 99 [7] C H Onder, et al, "Model-Baed Multivariable Speed and Air-to- Control of an SI Engine," in Society of Automotive Engineer, 99 [8] S B Choi, et al, "An Oberver-baed Controller Deign Method for Automotive Fuel-Injection Sytem," in American Control Conference, 99, pp [9] Kume, et al, "Combution echnologie for Direct Injection SI Engine," in Society of Automotive Engineer, 996 [] G Zhu, et al, Combution Characteritic of a Single- Cylinder Engine Equipped with Gaoline and Ethanol Dual- Fuel Sytem, SAE [] L Guzzella, Introduction to Modeling and Control of Internal Combution Engine Sytem: Springer-Verlag Berlin Heidelberg, 4 [] H Khalil, Nonlinear Sytem, ed: Prentice Hall, [] M Won, et al, Air to Control of Spark Ignition Engine Uing Dynamic Control and Gauian Neural Network, in American Control Conference, 995, pp [4] J Souder, et al, Adaptive Control of Air-Fuel Ratio in Internal Combution Engine, International Journal of Robut and Nonlinear Control, vol 4, 4 7 Copyright 9 by ASME Downloaded From: on 5/6/8 erm of Ue:

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

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

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

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

LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM. P.Dickinson, A.T.Shenton

LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM. P.Dickinson, A.T.Shenton LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM P.Dickinon, A.T.Shenton Department of Engineering, The Univerity of Liverpool, Liverpool L69 3GH, UK Abtract: Thi paper compare

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

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

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment

Advanced 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 information

State Space: Observer Design Lecture 11

State Space: Observer Design Lecture 11 State Space: Oberver Deign Lecture Advanced Control Sytem Dr Eyad Radwan Dr Eyad Radwan/ACS/ State Space-L Controller deign relie upon acce to the tate variable for feedback through adjutable gain. Thi

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

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

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

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

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 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

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

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuit II Solution to Aignment 3 February 2003. Cacaded Op Amp [DC&L, problem 4.29] An ideal op amp ha an output impedance of zero,

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

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

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

Lecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank.

Lecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank. Lecture Note II Example 6 Continuou Stirred-Tank Reactor (CSTR) Chemical reactor together with ma tranfer procee contitute an important part of chemical technologie. From a control point of view, reactor

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

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

Lqr Based Load Frequency Control By Introducing Demand Response

Lqr Based Load Frequency Control By Introducing Demand Response Lqr Baed Load Frequency Control By Introducing Demand Repone P.Venkateh Department of Electrical and Electronic Engineering, V.R iddhartha Engineering College, Vijayawada, AP, 520007, India K.rikanth Department

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

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 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

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

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

ECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances ECE 350 Root Locu Deign Example Recall the imple crude ervo from lab G( ) 0 6.64 53.78 σ = = 3 23.473 PI To eliminate teady-tate error (for contant input) & perfect reection of contant diturbance Note:

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar DECOUPLING CONTROL M. Fikar Department of Proce Control, Faculty of Chemical and Food Technology, Slovak Univerity of Technology in Bratilava, Radlinkého 9, SK-812 37 Bratilava, Slovakia Keyword: Decoupling:

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

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

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

NCAAPMT Calculus Challenge Challenge #3 Due: October 26, 2011

NCAAPMT Calculus Challenge Challenge #3 Due: October 26, 2011 NCAAPMT Calculu Challenge 011 01 Challenge #3 Due: October 6, 011 A Model of Traffic Flow Everyone ha at ome time been on a multi-lane highway and encountered road contruction that required the traffic

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

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

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

ABSTRACT- In this paper, a Shunt active power filter (SAPF) is developed without considering any harmonic detection

ABSTRACT- In this paper, a Shunt active power filter (SAPF) is developed without considering any harmonic detection Special Iue of International Journal of Advance in Applied Science and Engineering (IJAEAS) ISSN (P): 2348-1811; ISSN (E): 2348-182X Vol. 4, Iue 1,2, March 2017, 34-39 IIST SHUNT ACTIVE POWER FILTER PERFORMANCE

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

ISSN: [Basnet* et al., 6(3): March, 2017] Impact Factor: 4.116

ISSN: [Basnet* et al., 6(3): March, 2017] Impact Factor: 4.116 IJESR INERNAIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH ECHNOLOGY DIREC ORQUE CONROLLED INDUCION MOOR DRIVE FOR ORQUE RIPPLE REDUCION Bigyan Banet Department of Electrical Engineering, ribhuvan Univerity,

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

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

Sensorless speed control including zero speed of non salient PM synchronous drives

Sensorless speed control including zero speed of non salient PM synchronous drives BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES Vol. 54, No. 3, 2006 Senorle peed control including zero peed of non alient PM ynchronou drive H. RASMUSSEN Aalborg Univerity, Fredrik Bajer

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

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

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

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

Analysis and Design of a Third Order Phase-Lock Loop

Analysis and Design of a Third Order Phase-Lock Loop Analyi Deign of a Third Order Phae-Lock Loop DANIEL Y. ABRAMOVITCH Ford Aeropace Corporation 3939 Fabian Way, MS: X- Palo Alto, CA 94303 Abtract Typical implementation of a phae-lock loop (PLL) are econd

More information

Automatic Control Systems. Part III: Root Locus Technique

Automatic 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 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

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

NONLINEAR CONTROLLER DESIGN FOR A SHELL AND TUBE HEAT EXCHANGER AN EXPERIMENTATION APPROACH

NONLINEAR CONTROLLER DESIGN FOR A SHELL AND TUBE HEAT EXCHANGER AN EXPERIMENTATION APPROACH International Journal of Electrical, Electronic and Data Communication, ISSN: 232-284 Volume-3, Iue-8, Aug.-25 NONLINEAR CONTROLLER DESIGN FOR A SHELL AND TUBE HEAT EXCHANGER AN EXPERIMENTATION APPROACH

More information

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION G.J. E.D.T.,Vol.(6:93 (NovemberDecember, 03 ISSN: 39 793 LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION C.Srinivaa Rao Dept. of EEE, G.Pullaiah

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

Throttle Actuator Swapping Modularity Design for Idle Speed Control

Throttle Actuator Swapping Modularity Design for Idle Speed Control 9 merican ontrol onference Hyatt Regency Riverfront, St. Loui, MO, US June -, 9 ThB.4 Throttle ctuator Swapping Modularity Deign for Idle Speed ontrol Shifang Li, Melih akmakci, Ilya V. Kolmanovky and.

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

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

EE Control Systems LECTURE 6

EE 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 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

Approximate Optimal Control of Internal Combustion Engine Test Benches

Approximate Optimal Control of Internal Combustion Engine Test Benches 11 5th IEEE Conference on Deciion and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 1-15, 11 Approximate Optimal Control of Internal Combution Engine Tet Benche T. E. Paenbrunner,

More information

Model Based Decoupling Control for Waste Incineration Plants

Model Based Decoupling Control for Waste Incineration Plants Model Baed Decoupling Control for Wate Incineration Plant Martin Kozek and Andrea Voigt Intitute of Mechanic and Mechatronic, Vienna Univerity of Technology, Vienna, Autria Email: kozek@impa.tuwien.ac.at

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

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty IOSR Journal of Electrical and Electronic Engineering (IOSR-JEEE) ISSN: 78-676Volume, Iue 6 (Nov. - Dec. 0), PP 4-0 Simple Oberver Baed Synchronization of Lorenz Sytem with Parametric Uncertainty Manih

More information

Efficient Methods of Doppler Processing for Coexisting Land and Weather Clutter

Efficient Methods of Doppler Processing for Coexisting Land and Weather Clutter Efficient Method of Doppler Proceing for Coexiting Land and Weather Clutter Ça gatay Candan and A Özgür Yılmaz Middle Eat Technical Univerity METU) Ankara, Turkey ccandan@metuedutr, aoyilmaz@metuedutr

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov 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 information

Stability regions in controller parameter space of DC motor speed control system with communication delays

Stability 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 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

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

DECOUPLING CONTROL OF A REACTIVE DISTILLATION PROCESS USING TYREUS-LUYBEN TECHNIQUE

DECOUPLING CONTROL OF A REACTIVE DISTILLATION PROCESS USING TYREUS-LUYBEN TECHNIQUE 2006-2012 Aian Reearch Publihing Network (ARPN. All right reerved. DECOUPLING CONROL OF A REACIVE DISILLAION PROCESS USING YREUS-LUYBEN ECHNIQUE Abdulwahab Giwa and Süleyman Karacan Department of Chemical

More information

Pusan National University

Pusan National University Chapter 12. DESIGN VIA STATE SPACE Puan National Univerity oratory Table of Content v v v v v v v v Introduction Controller Deign Controllability Alternative Approache to Controller Deign Oberver Deign

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

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

Direct Torque Tracking PI-Controller Design for Switched Reluctance Motor Drive using Singular Perturbation Method

Direct Torque Tracking PI-Controller Design for Switched Reluctance Motor Drive using Singular Perturbation Method Proceeding of the 17th World Congre The International Federation of Automatic Control Direct Torque Tracking PI-Controller Deign for Switched Reluctance Motor Drive uing Singular Perturbation Method Sanjib

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

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity Chapter 1 Baic Decription of Laer Diode Dynamic by Spatially Averaged Rate Equation: Condition of Validity A laer diode i a device in which an electric current input i converted to an output of photon.

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

One Class of Splitting Iterative Schemes

One Class of Splitting Iterative Schemes One Cla of Splitting Iterative Scheme v Ciegi and V. Pakalnytė Vilniu Gedimina Technical Univerity Saulėtekio al. 11, 2054, Vilniu, Lithuania rc@fm.vtu.lt Abtract. Thi paper deal with the tability analyi

More information

J. Electrical Systems 8-1 (2012): Regular paper

J. Electrical Systems 8-1 (2012): Regular paper K.R.M. Vijaya Chandrakala S. Balamurugan K. Sankaranarayanan J. Electrical Sytem 8- (22): 85-94 Regular paper Damping of Tie-Line Power Ocillation in Interconnected Power Sytem uing Variable Structure

More information

STATE RETENTION OF AN INVERTED PENDULUM

STATE RETENTION OF AN INVERTED PENDULUM ISSN:9-69 Potluri Krihna Murthy et al, Int.J.Computer echnology & Application,Vol 7 (,6-67 SAE REENION OF AN INVERED PENDULUM Potluri Krihna Murthy Aitant Profeor Department of Electrical and Electronic

More information

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL POWE YEM MALL INAL ABILIY ANALYI BAE ON E INAL Zheng Xu, Wei hao, Changchun Zhou Zheang Univerity, Hangzhou, 37 PChina Email: hvdc@ceezueducn Abtract - In thi paper, a method baed on ome tet ignal (et

More information

Finding the location of switched capacitor banks in distribution systems based on wavelet transform

Finding the location of switched capacitor banks in distribution systems based on wavelet transform UPEC00 3t Aug - 3rd Sept 00 Finding the location of witched capacitor bank in ditribution ytem baed on wavelet tranform Bahram nohad Shahid Chamran Univerity in Ahvaz bahramnohad@yahoo.com Mehrdad keramatzadeh

More information

Longitudinal automatic control system for a light weight aircraft

Longitudinal automatic control system for a light weight aircraft Longitudinal automatic control ytem for a light eight aircraft Critian VIDAN*,, Silviu Ionut BADEA *Correponding author Military echnical Academy, Faculty of Mechatronic and Integrated Armament Sytem,

More information

Copyright 1967, by the author(s). All rights reserved.

Copyright 1967, by the author(s). All rights reserved. Copyright 1967, by the author(). All right reerved. Permiion to make digital or hard copie of all or part of thi work for peronal or claroom ue i granted without fee provided that copie are not made or

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

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

SERIES COMPENSATION: VOLTAGE COMPENSATION USING DVR (Lectures 41-48)

SERIES COMPENSATION: VOLTAGE COMPENSATION USING DVR (Lectures 41-48) Chapter 5 SERIES COMPENSATION: VOLTAGE COMPENSATION USING DVR (Lecture 41-48) 5.1 Introduction Power ytem hould enure good quality of electric power upply, which mean voltage and current waveform hould

More information

SMALL-SIGNAL STABILITY ASSESSMENT OF THE EUROPEAN POWER SYSTEM BASED ON ADVANCED NEURAL NETWORK METHOD

SMALL-SIGNAL STABILITY ASSESSMENT OF THE EUROPEAN POWER SYSTEM BASED ON ADVANCED NEURAL NETWORK METHOD SMALL-SIGNAL STABILITY ASSESSMENT OF THE EUROPEAN POWER SYSTEM BASED ON ADVANCED NEURAL NETWORK METHOD S.P. Teeuwen, I. Erlich U. Bachmann Univerity of Duiburg, Germany Department of Electrical Power Sytem

More information

Hybrid Projective Dislocated Synchronization of Liu Chaotic System Based on Parameters Identification

Hybrid Projective Dislocated Synchronization of Liu Chaotic System Based on Parameters Identification www.ccenet.org/ma Modern Applied Science Vol. 6, No. ; February Hybrid Projective Dilocated Synchronization of Liu Chaotic Sytem Baed on Parameter Identification Yanfei Chen College of Science, Guilin

More information

CHEAP CONTROL PERFORMANCE LIMITATIONS OF INPUT CONSTRAINED LINEAR SYSTEMS

CHEAP CONTROL PERFORMANCE LIMITATIONS OF INPUT CONSTRAINED LINEAR SYSTEMS Copyright 22 IFAC 5th Triennial World Congre, Barcelona, Spain CHEAP CONTROL PERFORMANCE LIMITATIONS OF INPUT CONSTRAINED LINEAR SYSTEMS Tritan Pérez Graham C. Goodwin Maria M. Serón Department of Electrical

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

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

Reduced Order Model Design for Three Way Catalytic Converter Temperature Dynamics

Reduced Order Model Design for Three Way Catalytic Converter Temperature Dynamics 2017 IEEE Conference on Control Technology and Application (CCTA) Augut 27-30, 2017. Kohala Coat, Hawai'i, USA Reduced Order Model Deign for Three Way Catalytic Converter Temperature Dynamic Romit Godi

More information

PIM Digital Redesign and Experiments of a Roll-Angle Controller for a VTOL-UAV

PIM Digital Redesign and Experiments of a Roll-Angle Controller for a VTOL-UAV 1 roceeding of the International Conference on Information and Automation, December 15-1, 5, Colombo, Sri Lanka. IM Digital Redeign and Experiment of a Roll-Angle Controller for a VTOL-UAV Takahi Kahimura*

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

An estimation approach for autotuning of event-based PI control systems

An estimation approach for autotuning of event-based PI control systems Acta de la XXXIX Jornada de Automática, Badajoz, 5-7 de Septiembre de 08 An etimation approach for autotuning of event-baed PI control ytem Joé Sánchez Moreno, María Guinaldo Loada, Sebatián Dormido Departamento

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

A VIBRATION ISOLATION SYSTEM USING STIFFNESS VARIATION CAPABILITY OF ZERO-POWER CONTROL

A VIBRATION ISOLATION SYSTEM USING STIFFNESS VARIATION CAPABILITY OF ZERO-POWER CONTROL Proceeding of the International Conference on Mechanical Engineering 009 (ICME009) 6-8 December 009, Dhaka, Bangladeh ICME09-AM-0 A VIBRATION ISOLATION SYSTEM USING STIFFNESS VARIATION CAPABILITY OF ZERO-POWER

More information

Extremum seeking (ES) was invented in

Extremum seeking (ES) was invented in EXTREMUM SEEKING FOR WIND AND SOLAR ENERGY by Azad Ghaffari, Mirolav Krtic and Sridhar Sehagiri APPLICATIONS Extremum eeking (ES) wa invented in 1922 and i one of the oldet feedback method Rather than

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

SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER

SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER 5-8 JATIT. All right reerved. SENSORLESS DIRECT TORQUE CONTROL OF RUSHLESS AC MACHINE USING LUENBERGER OBSERVER 1 Khalil. Nabti, K. Abed, H. Benalla 1, Student, Prof. Department of Electrical Engineering,

More information