Automatic Generation Control Using LQR based PI Controller for Multi Area Interconnected Power System

Size: px
Start display at page:

Download "Automatic Generation Control Using LQR based PI Controller for Multi Area Interconnected Power System"

Transcription

1 Advance in Electronic and Electric Engineering. ISSN , Volume 4, Number 2 (2014), pp Research India Publications Automatic Generation Control Using LQR based PI Controller for Multi Area Interconnected Power System Naresh Kumari and A.N. Jha Department of Electrical, Electronics and Communication Engineering, ITM University, Gurgaon, Haryana, INDIA. 1 nareshkumari@itmindia.edu, 2 anjha@itmindia.edu Abstract The continuous time Linear Quadratic Regulator (LQR) theory has been implemented in the present work for the design of optimal Proportional Integral(PI) controller for the frequency response enhancement of multi area interconnected power system. The PI controller gains as proportional gain (Kp) and integral gain (Ki) are formulated as the optimal state-feedback gains, corresponding to the standard quadratic cost function known as integral of time multiplied squared error (ITSE).The two area network comprising of thermal power systems is considered without the reheat and generation rate constraint (GRC). The automatic generation control has been developed for two area thermal network using LQR based PI controller. In the present work firstly the block diagram of the system is designed. Then states of the system are identified which help to develop the state apace model of the system. The proposed model has nine states of the system for which the state feedback is given to LQR for keeping the Performance Index (PI) to minimum. The system state equation and output equation have been formulated with state matrix A, Input matrix B and Output matrix C. These matrices are developed on the basis of system parameters. The weighing matrices Q and R of LQ regulator are optimally designed to keep the frequency deviation with load changes within the desired limits. The two control signals are thus developed by LQ regulator which are fed one to each area for frequency response enhancement..the proposed load frequency control of two area electric power system has been developed by using MATLAB/SIMULINK. The thermal systems of two area network are

2 150 Naresh Kumari & A.N. Jha 2000 MW each.the active power control of the system with LQ regulator based PI controller help to achieve the frequency at the scheduled value with variation in the load. Keywords: Linear Quadratic Regulator; Automatic generation control; state space model; PI controller; Integral of time multiplied squared error (ITSE). 1. Introduction The linear quadratic regulator can realize closed loop optimal control through the state feedback so it has become one of the important design methods in the field of control engineering [J Longguo et al.]. This control method applies LQR theory to determine appropriate feedback gain along with the minimum variance method to design the automatic generation control of two area thermal power system. With the LQR optimal control the system can achieve better performance with reduced cost, can be easily realized using simple method, and also it can greatly reduce the excessive mathematical workload with the powerful matrix s handling ability of MATLAB/SIMULINK [ B Wang et al.]. The high quality and reliable electric power can be generated by keeping the balance between power demand and power generation of any system. The system frequency can be maintained at the desired value by regulating the various generator units with continuous adjustment of active power [O.I. Elgerd]-[R N Patel et al.].the variable parameters of the system can be changed under the varying load conditions for the frequency response enhancement. The LQ regulator has been used by the control designers for the tuning of PI controllers [J B He et al.].the LQR help to keep the state deviations to minimum level along with keeping the Performance Index to minimum. The mathematical model is established for two area interconnected thermal systems. The reheat and generation rate constraint have not been considered in the present work to keep the model simple and to have the less number of states for the feedback to LQR. The automatic generation control require the appropriate modeling of interconnected power system to enable the frequency regulation of the system. Firstly the block diagram of the two area thermal power system is designed then the state space model is developed. The tuning strategy of PI controllers with the optimal control technique of LQR allows the designer to achieve both optimal set-point tracking and optimal cost of control of the system [S Das et al.]. 2. Mathematical Modelling of Two Area Power System The system considered in this work comprises of two thermal power plants which are interconnected through tie line for sharing the power to maintain the generation load balance. The areas taken for investigation are of 2000 MW each. The important parameters according to the rating of the system are given in Table-1. The transfer function model using MATLAB/ SIMULINK has been designed. The generation rate constraint and reheat are not taken into account for the simplicity of the system.

3 Automatic Generation Control Using LQR based PI Controller for Multi Area 151 The block diagram for the automatic generation control of two area power system is developed and the nine variable parameters which are the states of the system are indentified. The state space model of two area thermal thermal (non-reheat) power system of 2000 MW for each plant, with full state feedback (9 state feedback) has been developed as per the scheme shown in Fig. 1[C B Bangal] and simulated in MATLAB /SIMULINK environment. Total nine State Variables for the system of as per the Fig 1. are as below: x 1 = f 1, x 2 = Pt 1, x 3 = Pg 1 x 4= f 2, x 5 = Pt2, x 6= Pg 2 x7 = Pt tie(1,2), x8 = ʃ (ACE 1) dt x9 =ʃ (ACE 2) dt Control inputs: u1 and u2 State equations for the different blocks of the system shown in Fig 1 have been developed. Fig. 1: Transfer function model of two area interconnected reheat thermal system. The state vector and control vector for the above system are given as: State Vector (X) = [ X1 X2 X3 X4 X5 X6 X7 X8 X9 ] The system state and output equations of the system are given by: The The state matrix A,Input matrix B and Output matrix C for the system in general form can be given as:

4 152 Naresh Kumari & A.N. Jha The optimal control system for the two area power system can be given as below: u(t) = Kx(t) where K= R B T P P can be calculated by the solution of the Continuous Algebraic Riccati Equation as below: A T P PA P BR -1 B T P Q 0 The Performance Index (PI) for the system can be given as PI = 1/2 ( x Q x + u R u) dt Q and R are the weighting matrices [M Saif] and they are designed by the proper understanding of the system.these are generally diagonal matrices as shown below: 3. Result and Discussion The state matrix A, Input matrix B and Output matrix C for the system are determined as per the variable parameters given in Table I.The state space model is developed for the system in MATLAB as sys = ss(a,b,c,d); The weighting matrices Q and R are chosen with trial and error so that the Performance Index of the system is minimum along with the minimum state deviations from their state trajectories. Then with those values of Q and R, the feedback gain matrix K is determined by equation [K,S,e] = lqr(sys,q,r,n) The two control vectors are generated which are given to the two thermal systems for the frequency response enhancement. The 0.5% load variation on one area at a time has been used for the study of load frequency control of two area power system in MATLAB/SIMULINK.The load variation in one area causes the frequency deviation in both the areas as shown in Fig. 2 to Fig. 5.

5 Automatic Generation Control Using LQR based PI Controller for Multi Area 153 Fig. 2: ΔF1 VS T for Area 1 When 0.5% Load Change in Area1. Fig. 3: ΔF2 VS T for Area 2 When 0.5% Load Change in Area1. Fig. 4: ΔF2 VS T for Area 2 When 0.5% Load Change IN Area 2. Fig. 5: ΔF1 VS T for AREA 1 When 0.5% Load Change in area Conclusion In this paper, the LQ regulator is used to control the various states of the two area power system and enhance the system performance under the changes in the power system parameters and load conditions. The PI controller is also tuned with LQR method. The power generation and load demand balance is maintained so that frequency change is within the desirable limits with the variation of load. This optimal LQR PI controller is more robust to changes occurring in the system. Table I: Parameters of two area power system investigated. f=60 Hz Kr =0.5 Tg =0.08 s Tt =0.3 Ptie max=200mw Kp= 120 Hz/puMW Tr= 10s,T12=0.544 a12=-0.5 Tp=20 s

6 154 Naresh Kumari & A.N. Jha References [1] J Longguo and J Wang (2004), Applying MATLAB to the Design of the Linear Quadratic Optimal Controller, Journal of Qingdao Vocational and Technical College,17, pp [2] B Wang, X Xiangyang, Y Dai and G Shi(2013), A Q,R Search Method for an Unmanned Helicopter Based on LQR, Fifth International Conference on Intelligent Human-Machine Systems and Cybernetics, pp [3] O.I. Elgerd(1983), Electric energy systems theory: an introduction, Tata McGraw-Hill, New Delhi. [4] R N Patel, S K Sinha and R Prasad(2008), Design of a Robust Controller for AGC with Combined Intelligence Techniques, World Academy of Science, Engineering and Technology. [5] J B He, Q G Wang and T H Lee(1998), PI/PID controller tuning via LQR approach, Proceedings of the 37th IEEE Conference on Decision and Control, Tampa,USA, pp [6] S Das, I Pan, K Halder, S Das and Amitava Gupta(2009), LQR Based Improved Discrete PID Controller Design via Optimum Selection of Weighting Matrices Using Fractional Order Integral Performance Index based on Lyapunov approach, International Conference on Information Engineerig and Computer Science, pp. 1-5 [7] C B Bangal (2009), Automatic Generation Control of Interconnected Power Systems Using Artificial Neural NetworkTechniques, PhD Thesis, Bharath University, Chennai, pp [8] M Saif(1989), Optimal linear regulator pole-placement by weight selection, International Journal of Control, 50, 1, pp

Performance Comparison of PSO Based State Feedback Gain (K) Controller with LQR-PI and Integral Controller for Automatic Frequency Regulation

Performance Comparison of PSO Based State Feedback Gain (K) Controller with LQR-PI and Integral Controller for Automatic Frequency Regulation Performance Comparison of PSO Based Feedback Gain Controller with LQR-PI and Controller for Automatic Frequency Regulation NARESH KUMARI 1, A. N. JHA 2, NITIN MALIK 3 1,3 School of Engineering and Technology,

More information

Study of Sampled Data Analysis of Dynamic Responses of an Interconnected Hydro Thermal System

Study of Sampled Data Analysis of Dynamic Responses of an Interconnected Hydro Thermal System IJECT Vo l. 4, Is s u e Sp l - 1, Ja n - Ma r c h 2013 ISSN : 2230-7109 (Online) ISSN : 2230-9543 (Print) Study of Sampled Data Analysis of Dynamic Responses of an Interconnected Hydro Thermal System 1

More information

LOAD FREQUENCY CONTROL WITH THERMAL AND NUCLEAR INTERCONNECTED POWER SYSTEM USING PID CONTROLLER

LOAD FREQUENCY CONTROL WITH THERMAL AND NUCLEAR INTERCONNECTED POWER SYSTEM USING PID CONTROLLER LOAD FREQUENCY CONTROL WITH THERMAL AND NUCLEAR INTERCONNECTED POWER SYSTEM USING PID CONTROLLER Amitesh Kumar, Prof. SulataBhandari, Dr. RintuKhanna 3,,3 Pec University of Technology, Chandigarh,( India)

More information

LFC of an Interconnected Power System with Thyristor Controlled Phase Shifter in the Tie Line

LFC of an Interconnected Power System with Thyristor Controlled Phase Shifter in the Tie Line International Journal of Computer Applications (975 8887) Volume 41 No.9, March 2 LFC of an Interconnected Power System with Thyristor Controlled Phase Shifter in the Tie Line K. P. Singh Parmar CAMPS,

More information

LOAD FREQUENCY CONTROL FOR A TWO AREA INTERCONNECTED POWER SYSTEM USING ROBUST GENETIC ALGORITHM CONTROLLER

LOAD FREQUENCY CONTROL FOR A TWO AREA INTERCONNECTED POWER SYSTEM USING ROBUST GENETIC ALGORITHM CONTROLLER Journal of heoretical and Applied Information echnology 00-008 JAI. All rights reserved. LOAD FREQUENCY CONROL FOR A WO AREA INERCONNECED POWER SYSEM USING ROBUS GENEIC ALGORIHM CONROLLER B. Venkata Prasanth,

More information

Comparison of LQR and PD controller for stabilizing Double Inverted Pendulum System

Comparison of LQR and PD controller for stabilizing Double Inverted Pendulum System International Journal of Engineering Research and Development ISSN: 78-67X, Volume 1, Issue 1 (July 1), PP. 69-74 www.ijerd.com Comparison of LQR and PD controller for stabilizing Double Inverted Pendulum

More information

Automatic Generation Control of interconnected Hydro Thermal system by using APSO scheme

Automatic Generation Control of interconnected Hydro Thermal system by using APSO scheme IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331 PP 50-57 www.iosrjournals.org Automatic Generation Control of interconnected Hydro Thermal system

More information

6545(Print), ISSN (Online) Volume 4, Issue 3, May - June (2013), IAEME & TECHNOLOGY (IJEET)

6545(Print), ISSN (Online) Volume 4, Issue 3, May - June (2013), IAEME & TECHNOLOGY (IJEET) INTERNATIONAL International Journal of JOURNAL Electrical Engineering OF ELECTRICAL and Technology (IJEET), ENGINEERING ISSN 976 & TECHNOLOGY (IJEET) ISSN 976 6545(Print) ISSN 976 6553(Online) Volume 4,

More information

WEIGHTING MATRICES DETERMINATION USING POLE PLACEMENT FOR TRACKING MANEUVERS

WEIGHTING MATRICES DETERMINATION USING POLE PLACEMENT FOR TRACKING MANEUVERS U.P.B. Sci. Bull., Series D, Vol. 75, Iss. 2, 2013 ISSN 1454-2358 WEIGHTING MATRICES DETERMINATION USING POLE PLACEMENT FOR TRACKING MANEUVERS Raluca M. STEFANESCU 1, Claudiu L. PRIOROC 2, Adrian M. STOICA

More information

Australian Journal of Basic and Applied Sciences, 3(4): , 2009 ISSN Modern Control Design of Power System

Australian Journal of Basic and Applied Sciences, 3(4): , 2009 ISSN Modern Control Design of Power System Australian Journal of Basic and Applied Sciences, 3(4): 4267-4273, 29 ISSN 99-878 Modern Control Design of Power System Atef Saleh Othman Al-Mashakbeh Tafila Technical University, Electrical Engineering

More information

Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System

Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System International Journal of Computer Theory and Engineering, Vol. 2, No. 2 April, 2 793-82 Application of GA and PSO Tuned Fuzzy Controller for AGC of Three Area Thermal- Thermal-Hydro Power System S. K.

More information

Frequency-Bias Tie-Line Control of Hydroelectric Generating Stations for Long Distances

Frequency-Bias Tie-Line Control of Hydroelectric Generating Stations for Long Distances Frequency-Bias Tie-Line Control of Hydroelectric Generating Stations for Long Distances Sukhbir Singh Abstract In this work I have tried to apply effective dedicated online control systems to two equal

More information

Steam-Hydraulic Turbines Load Frequency Controller Based on Fuzzy Logic Control

Steam-Hydraulic Turbines Load Frequency Controller Based on Fuzzy Logic Control esearch Journal of Applied Sciences, Engineering and echnology 4(5): 375-38, ISSN: 4-7467 Maxwell Scientific Organization, Submitted: February, Accepted: March 6, Published: August, Steam-Hydraulic urbines

More information

An LQR Controller Design Approach For Pitch Axis Stabilisation Of 3-DOF Helicopter System

An LQR Controller Design Approach For Pitch Axis Stabilisation Of 3-DOF Helicopter System International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April-2013 1398 An LQR Controller Design Approach For Pitch Axis Stabilisation Of 3-DOF Helicopter System Mrs. M. Bharathi*Golden

More information

International Journal of Engineering Trends and Technology (IJETT) Volume3 Issue 4 Number1 Jul 2012

International Journal of Engineering Trends and Technology (IJETT) Volume3 Issue 4 Number1 Jul 2012 Design Approach For Pitch Axis Stabilization Of 3-Dof Helicopter System An Lqr Controller Mrs.M.Bharathi*Golden Kumar** *Proffessor and Head, Department of Electronics And Instrumentation, Bharath University

More information

PSO Based Predictive Nonlinear Automatic Generation Control

PSO Based Predictive Nonlinear Automatic Generation Control PSO Based Predictive Nonlinear Automatic Generation Control MUHAMMAD S. YOUSUF HUSSAIN N. AL-DUWAISH Department of Electrical Engineering ZAKARIYA M. AL-HAMOUZ King Fahd University of Petroleum & Minerals,

More information

EXCITATION CONTROL OF SYNCHRONOUS GENERATOR USING A FUZZY LOGIC BASED BACKSTEPPING APPROACH

EXCITATION CONTROL OF SYNCHRONOUS GENERATOR USING A FUZZY LOGIC BASED BACKSTEPPING APPROACH EXCITATION CONTROL OF SYNCHRONOUS GENERATOR USING A FUZZY LOGIC BASED BACKSTEPPING APPROACH Abhilash Asekar 1 1 School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia ---------------------------------------------------------------------***----------------------------------------------------------------------

More information

Linear State Feedback Controller Design

Linear State Feedback Controller Design Assignment For EE5101 - Linear Systems Sem I AY2010/2011 Linear State Feedback Controller Design Phang Swee King A0033585A Email: king@nus.edu.sg NGS/ECE Dept. Faculty of Engineering National University

More information

Effect of Fractional Order in Vertical Pole Motion Sucheta Moharir 1, Narhari Patil 2

Effect of Fractional Order in Vertical Pole Motion Sucheta Moharir 1, Narhari Patil 2 Effect of Fractional Order in Vertical Pole Motion Sucheta Moharir 1, Narhari Patil 2 1 St.Vincent Pallotti College of Engineering and Technology, Nagpur (Maharashtra), India 2 Shri Sant Gajanan Maharaj

More information

Secondary Frequency Control of Microgrids In Islanded Operation Mode and Its Optimum Regulation Based on the Particle Swarm Optimization Algorithm

Secondary Frequency Control of Microgrids In Islanded Operation Mode and Its Optimum Regulation Based on the Particle Swarm Optimization Algorithm International Academic Institute for Science and Technology International Academic Journal of Science and Engineering Vol. 3, No. 1, 2016, pp. 159-169. ISSN 2454-3896 International Academic Journal of

More information

Modeling of Hydraulic Turbine and Governor for Dynamic Studies of HPP

Modeling of Hydraulic Turbine and Governor for Dynamic Studies of HPP Modeling of Hydraulic Turbine and Governor for Dynamic Studies of HPP Nanaware R. A. Department of Electronics, Shivaji University, Kolhapur Sawant S. R. Department of Technology, Shivaji University, Kolhapur

More information

CHAPTER 2 MODELING OF POWER SYSTEM

CHAPTER 2 MODELING OF POWER SYSTEM 38 CHAPTER 2 MODELING OF POWER SYSTEM 2.1 INTRODUCTION In the day to day scenario, power is an essential commodity to the human beings. The demand is more in developed countries and there is increase in

More information

SUCCESSIVE POLE SHIFTING USING SAMPLED-DATA LQ REGULATORS. Sigeru Omatu

SUCCESSIVE POLE SHIFTING USING SAMPLED-DATA LQ REGULATORS. Sigeru Omatu SUCCESSIVE POLE SHIFING USING SAMPLED-DAA LQ REGULAORS oru Fujinaka Sigeru Omatu Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, 599-8531 Japan Abstract: Design of sampled-data

More information

X 2 3. Derive state transition matrix and its properties [10M] 4. (a) Derive a state space representation of the following system [5M] 1

X 2 3. Derive state transition matrix and its properties [10M] 4. (a) Derive a state space representation of the following system [5M] 1 QUESTION BANK 6 SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road 5758 QUESTION BANK (DESCRIPTIVE) Subject with Code :SYSTEM THEORY(6EE75) Year &Sem: I-M.Tech& I-Sem UNIT-I

More information

TECHNOLOGY (IJEET) Miss Cheshta Jain Department of electrical and electronics engg., MITM, Indore

TECHNOLOGY (IJEET) Miss Cheshta Jain Department of electrical and electronics engg., MITM, Indore INTERNATIONAL International Journal of Electrical JOURNAL Engineering and OF Technology ELECTRICAL (IJEET), ISSN 976 ENGINEERING 6545(Print), ISSN & TECHNOLOGY (IJEET) ISSN 976 6545(Print) ISSN 976 6553(Online)

More information

Improving the Control System for Pumped Storage Hydro Plant

Improving the Control System for Pumped Storage Hydro Plant 011 International Conference on Computer Communication and Management Proc.of CSIT vol.5 (011) (011) IACSIT Press, Singapore Improving the Control System for Pumped Storage Hydro Plant 1 Sa ad. P. Mansoor

More information

MODERN CONTROL DESIGN

MODERN CONTROL DESIGN CHAPTER 8 MODERN CONTROL DESIGN The classical design techniques of Chapters 6 and 7 are based on the root-locus and frequency response that utilize only the plant output for feedback with a dynamic controller

More information

A NEW APPROACH TO MIXED H 2 /H OPTIMAL PI/PID CONTROLLER DESIGN

A NEW APPROACH TO MIXED H 2 /H OPTIMAL PI/PID CONTROLLER DESIGN Copyright 2002 IFAC 15th Triennial World Congress, Barcelona, Spain A NEW APPROACH TO MIXED H 2 /H OPTIMAL PI/PID CONTROLLER DESIGN Chyi Hwang,1 Chun-Yen Hsiao Department of Chemical Engineering National

More information

CDS 110b: Lecture 2-1 Linear Quadratic Regulators

CDS 110b: Lecture 2-1 Linear Quadratic Regulators CDS 110b: Lecture 2-1 Linear Quadratic Regulators Richard M. Murray 11 January 2006 Goals: Derive the linear quadratic regulator and demonstrate its use Reading: Friedland, Chapter 9 (different derivation,

More information

State Regulator. Advanced Control. design of controllers using pole placement and LQ design rules

State Regulator. Advanced Control. design of controllers using pole placement and LQ design rules Advanced Control State Regulator Scope design of controllers using pole placement and LQ design rules Keywords pole placement, optimal control, LQ regulator, weighting matrixes Prerequisites Contact state

More information

Design of Decentralised PI Controller using Model Reference Adaptive Control for Quadruple Tank Process

Design of Decentralised PI Controller using Model Reference Adaptive Control for Quadruple Tank Process Design of Decentralised PI Controller using Model Reference Adaptive Control for Quadruple Tank Process D.Angeline Vijula #, Dr.N.Devarajan * # Electronics and Instrumentation Engineering Sri Ramakrishna

More information

FUZZY LOGIC CONTROL Vs. CONVENTIONAL PID CONTROL OF AN INVERTED PENDULUM ROBOT

FUZZY LOGIC CONTROL Vs. CONVENTIONAL PID CONTROL OF AN INVERTED PENDULUM ROBOT http:// FUZZY LOGIC CONTROL Vs. CONVENTIONAL PID CONTROL OF AN INVERTED PENDULUM ROBOT 1 Ms.Mukesh Beniwal, 2 Mr. Davender Kumar 1 M.Tech Student, 2 Asst.Prof, Department of Electronics and Communication

More information

Autonomous Mobile Robot Design

Autonomous Mobile Robot Design Autonomous Mobile Robot Design Topic: Guidance and Control Introduction and PID Loops Dr. Kostas Alexis (CSE) Autonomous Robot Challenges How do I control where to go? Autonomous Mobile Robot Design Topic:

More information

An Adaptive LQG Combined With the MRAS Based LFFC for Motion Control Systems

An Adaptive LQG Combined With the MRAS Based LFFC for Motion Control Systems Journal of Automation Control Engineering Vol 3 No 2 April 2015 An Adaptive LQG Combined With the MRAS Based LFFC for Motion Control Systems Nguyen Duy Cuong Nguyen Van Lanh Gia Thi Dinh Electronics Faculty

More information

Vibration Suppression of a 2-Mass Drive System with Multiple Feedbacks

Vibration Suppression of a 2-Mass Drive System with Multiple Feedbacks International Journal of Scientific and Research Publications, Volume 5, Issue 11, November 2015 168 Vibration Suppression of a 2-Mass Drive System with Multiple Feedbacks L. Vidyaratan Meetei, Benjamin

More information

Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes

Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes Saptarshi Das a,b *, Indranil Pan b,c, and Shantanu Das d a) School of Electronics and

More information

Optimal Control. Quadratic Functions. Single variable quadratic function: Multi-variable quadratic function:

Optimal Control. Quadratic Functions. Single variable quadratic function: Multi-variable quadratic function: Optimal Control Control design based on pole-placement has non unique solutions Best locations for eigenvalues are sometimes difficult to determine Linear Quadratic LQ) Optimal control minimizes a quadratic

More information

Gas Turbine LQR, INTEGRAL Controllers and Optimal PID Tuning by Ant Colony Optimization Comparative Study

Gas Turbine LQR, INTEGRAL Controllers and Optimal PID Tuning by Ant Colony Optimization Comparative Study International Journal of Computer Science and elecommunications [Volume 4, Issue, January 23] 35 ISSN 247-3338 Gas urbine LQR, INEGRAL Controllers and Optimal PID uning by Ant Colony Optimization Comparative

More information

MODELLING AND REAL TIME CONTROL OF TWO CONICAL TANK SYSTEMS OF NON-INTERACTING AND INTERACTING TYPE

MODELLING AND REAL TIME CONTROL OF TWO CONICAL TANK SYSTEMS OF NON-INTERACTING AND INTERACTING TYPE MODELLING AND REAL TIME CONTROL OF TWO CONICAL TANK SYSTEMS OF NON-INTERACTING AND INTERACTING TYPE D. Hariharan, S.Vijayachitra P.G. Scholar, M.E Control and Instrumentation Engineering, Kongu Engineering

More information

LINEAR QUADRATIC OPTIMAL CONTROL BASED ON DYNAMIC COMPENSATION. Received October 2010; revised March 2011

LINEAR QUADRATIC OPTIMAL CONTROL BASED ON DYNAMIC COMPENSATION. Received October 2010; revised March 2011 International Journal of Innovative Computing, Information and Control ICIC International c 22 ISSN 349-498 Volume 8, Number 5(B), May 22 pp. 3743 3754 LINEAR QUADRATIC OPTIMAL CONTROL BASED ON DYNAMIC

More information

DECENTRALIZED CONTROL DESIGN USING LMI MODEL REDUCTION

DECENTRALIZED CONTROL DESIGN USING LMI MODEL REDUCTION Journal of ELECTRICAL ENGINEERING, VOL. 58, NO. 6, 2007, 307 312 DECENTRALIZED CONTROL DESIGN USING LMI MODEL REDUCTION Szabolcs Dorák Danica Rosinová Decentralized control design approach based on partial

More information

Evaluation Performance of PID, LQR, Pole Placement Controllers for Heat Exchanger

Evaluation Performance of PID, LQR, Pole Placement Controllers for Heat Exchanger Evaluation Performance of PID, LQR, Pole Placement Controllers for Heat Exchanger Mohamed Essahafi, Mustapha Ait Lafkih Abstract In industrial environments, the heat exchanger is a necessary component

More information

MATH4406 (Control Theory) Unit 6: The Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC) Prepared by Yoni Nazarathy, Artem

MATH4406 (Control Theory) Unit 6: The Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC) Prepared by Yoni Nazarathy, Artem MATH4406 (Control Theory) Unit 6: The Linear Quadratic Regulator (LQR) and Model Predictive Control (MPC) Prepared by Yoni Nazarathy, Artem Pulemotov, September 12, 2012 Unit Outline Goal 1: Outline linear

More information

The output voltage is given by,

The output voltage is given by, 71 The output voltage is given by, = (3.1) The inductor and capacitor values of the Boost converter are derived by having the same assumption as that of the Buck converter. Now the critical value of the

More information

A Novel Approach to Permanent Magnet Linear Synchronous Motor Parameter Estimation

A Novel Approach to Permanent Magnet Linear Synchronous Motor Parameter Estimation International Journal of Electrical Engineering. ISSN 974-2158 Volume 5, Number 6 (212), pp. 653-659 International Research Publication House http://www.irphouse.com A Novel Approach to Permanent Magnet

More information

Subject: Optimal Control Assignment-1 (Related to Lecture notes 1-10)

Subject: Optimal Control Assignment-1 (Related to Lecture notes 1-10) Subject: Optimal Control Assignment- (Related to Lecture notes -). Design a oil mug, shown in fig., to hold as much oil possible. The height and radius of the mug should not be more than 6cm. The mug must

More information

PSO based Single and Two Interconnected Area Predictive Automatic Generation Control

PSO based Single and Two Interconnected Area Predictive Automatic Generation Control PSO based Single and Two Interconnected Area Predictive Automatic Generation Control MUHAMMAD S. YOUSUF HUSSAIN N. AL-DUWAISH Department of Electrical Engineering ZAKARIYA M. AL-HAMOUZ King Fahd University

More information

LOAD FREQUENCY CONTROL IN A SINGLE AREA POWER SYSTEM

LOAD FREQUENCY CONTROL IN A SINGLE AREA POWER SYSTEM LOAD FREQUENCY CONTROL IN A SINGLE AREA POWER SYSTEM PRANAB PATNAIK (109EE0294) Department of Electrical Engineering National Institute of Technology Rourkela LOAD FREQUENCY CONTROL IN A SINGLE AREA POWER

More information

Big bang-big crunch based optimized controller for automatic generation control and automatic voltage regulator system

Big bang-big crunch based optimized controller for automatic generation control and automatic voltage regulator system MultiCraft International Journal of Engineering, Science and Technology Vol. 3, No. 10, 2011, pp. 1219 INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND TECHNOLOGY www.ijestng.com www.ajol.info/index.php/ijest

More information

ROBUSTNESS COMPARISON OF CONTROL SYSTEMS FOR A NUCLEAR POWER PLANT

ROBUSTNESS COMPARISON OF CONTROL SYSTEMS FOR A NUCLEAR POWER PLANT Control 004, University of Bath, UK, September 004 ROBUSTNESS COMPARISON OF CONTROL SYSTEMS FOR A NUCLEAR POWER PLANT L Ding*, A Bradshaw, C J Taylor Lancaster University, UK. * l.ding@email.com Fax: 0604

More information

World Journal of Engineering Research and Technology WJERT

World Journal of Engineering Research and Technology WJERT wjert, 218, Vol. 4, Issue 1, 165-175. Original Article ISSN 2454-695X Pandimadevi et al. WJERT www.wjert.org SJIF Impact Factor: 4.326 DESIGN OF PI CONTROLLER FOR A CONICAL TANK SYSTEM *G. Pandimadevi

More information

Design and Stability Analysis of Single-Input Fuzzy Logic Controller

Design and Stability Analysis of Single-Input Fuzzy Logic Controller IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS PART B: CYBERNETICS, VOL. 30, NO. 2, APRIL 2000 303 Design and Stability Analysis of Single-Input Fuzzy Logic Controller Byung-Jae Choi, Seong-Woo Kwak,

More information

Simulation based Modeling and Implementation of Adaptive Control Technique for Non Linear Process Tank

Simulation based Modeling and Implementation of Adaptive Control Technique for Non Linear Process Tank Simulation based Modeling and Implementation of Adaptive Control Technique for Non Linear Process Tank P.Aravind PG Scholar, Department of Control and Instrumentation Engineering, JJ College of Engineering

More information

Optimal Control of Twin Rotor MIMO System Using LQR Technique

Optimal Control of Twin Rotor MIMO System Using LQR Technique Optimal Control of Twin Rotor MIMO System Using LQR Technique Sumit Kumar Pandey and Vijaya Laxmi Abstract In this paper, twin rotor multi input multi output system (TRMS) is considered as a prototype

More information

Lecture 4 Continuous time linear quadratic regulator

Lecture 4 Continuous time linear quadratic regulator EE363 Winter 2008-09 Lecture 4 Continuous time linear quadratic regulator continuous-time LQR problem dynamic programming solution Hamiltonian system and two point boundary value problem infinite horizon

More information

ARTIFICIAL COOPERATIVE SEARCH ALGORITHM BASED LOAD FREQUENCY CONTROL OF DEREGULATED POWER SYSTEM WITH SMES UNIT

ARTIFICIAL COOPERATIVE SEARCH ALGORITHM BASED LOAD FREQUENCY CONTROL OF DEREGULATED POWER SYSTEM WITH SMES UNIT th May 24. Vol. 63 No. 25-24 JATIT & LLS. All rights reserved. ISSN: 992-8645 www.atit.org E-ISSN: 87-395 ARTIFICIAL COOPERATIVE SEARCH ALGORITHM BASED LOAD FREQUENCY CONTROL OF DEREGULATED POWER SYSTEM

More information

Homework Solution # 3

Homework Solution # 3 ECSE 644 Optimal Control Feb, 4 Due: Feb 17, 4 (Tuesday) Homework Solution # 3 1 (5%) Consider the discrete nonlinear control system in Homework # For the optimal control and trajectory that you have found

More information

MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant

MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant MS-E2133 Systems Analysis Laboratory II Assignment 2 Control of thermal power plant How to control the thermal power plant in order to ensure the stable operation of the plant? In the assignment Production

More information

DECENTRALIZED PI CONTROLLER DESIGN FOR NON LINEAR MULTIVARIABLE SYSTEMS BASED ON IDEAL DECOUPLER

DECENTRALIZED PI CONTROLLER DESIGN FOR NON LINEAR MULTIVARIABLE SYSTEMS BASED ON IDEAL DECOUPLER th June 4. Vol. 64 No. 5-4 JATIT & LLS. All rights reserved. ISSN: 99-8645 www.jatit.org E-ISSN: 87-395 DECENTRALIZED PI CONTROLLER DESIGN FOR NON LINEAR MULTIVARIABLE SYSTEMS BASED ON IDEAL DECOUPLER

More information

CompensatorTuning for Didturbance Rejection Associated with Delayed Double Integrating Processes, Part II: Feedback Lag-lead First-order Compensator

CompensatorTuning for Didturbance Rejection Associated with Delayed Double Integrating Processes, Part II: Feedback Lag-lead First-order Compensator CompensatorTuning for Didturbance Rejection Associated with Delayed Double Integrating Processes, Part II: Feedback Lag-lead First-order Compensator Galal Ali Hassaan Department of Mechanical Design &

More information

Suppose that we have a specific single stage dynamic system governed by the following equation:

Suppose that we have a specific single stage dynamic system governed by the following equation: Dynamic Optimisation Discrete Dynamic Systems A single stage example Suppose that we have a specific single stage dynamic system governed by the following equation: x 1 = ax 0 + bu 0, x 0 = x i (1) where

More information

International Journal of Emerging Technology and Advanced Engineering Website: (ISSN , Volume 2, Issue 5, May 2012)

International Journal of Emerging Technology and Advanced Engineering Website:   (ISSN , Volume 2, Issue 5, May 2012) FUZZY SPEED CONTROLLER DESIGN OF THREE PHASE INDUCTION MOTOR Divya Rai 1,Swati Sharma 2, Vijay Bhuria 3 1,2 P.G.Student, 3 Assistant Professor Department of Electrical Engineering, Madhav institute of

More information

NEW CONTROL STRATEGY FOR LOAD FREQUENCY PROBLEM OF A SINGLE AREA POWER SYSTEM USING FUZZY LOGIC CONTROL

NEW CONTROL STRATEGY FOR LOAD FREQUENCY PROBLEM OF A SINGLE AREA POWER SYSTEM USING FUZZY LOGIC CONTROL NEW CONTROL STRATEGY FOR LOAD FREQUENCY PROBLEM OF A SINGLE AREA POWER SYSTEM USING FUZZY LOGIC CONTROL 1 B. Venkata Prasanth, 2 Dr. S. V. Jayaram Kumar 1 Associate Professor, Department of Electrical

More information

Optimal Controller Design for Thermal Power System with. Feedback Linearization

Optimal Controller Design for Thermal Power System with. Feedback Linearization International Journal of Electrical and Computer Engineering (IJECE) Vol. 2, No. 5, October 22, pp. 672~68 ISSN: 288-878 672 Optimal Controller Design for Thermal Power System with Feedback Linearization

More information

SDRE BASED LEADER-FOLLOWER FORMATION CONTROL OF MULTIPLE MOBILE ROBOTS

SDRE BASED LEADER-FOLLOWER FORMATION CONTROL OF MULTIPLE MOBILE ROBOTS SDRE BASED EADER-FOOWER FORMAION CONRO OF MUIPE MOBIE ROBOS Caio Igor Gonçalves Chinelato, uiz S. Martins-Filho Universidade Federal do ABC - UFABC Av. dos Estados, 5001, Bangu, 09210-971, Santo André,

More information

Optimal control and estimation

Optimal control and estimation Automatic Control 2 Optimal control and estimation Prof. Alberto Bemporad University of Trento Academic year 2010-2011 Prof. Alberto Bemporad (University of Trento) Automatic Control 2 Academic year 2010-2011

More information

Extensions and applications of LQ

Extensions and applications of LQ Extensions and applications of LQ 1 Discrete time systems 2 Assigning closed loop pole location 3 Frequency shaping LQ Regulator for Discrete Time Systems Consider the discrete time system: x(k + 1) =

More information

DESIGN OF OBSERVER BASED QUASI DECENTRALIZED FUZZY LOAD FREQUENCY CONTROLLER FOR INTER CONNECTED POWER SYSTEM

DESIGN OF OBSERVER BASED QUASI DECENTRALIZED FUZZY LOAD FREQUENCY CONTROLLER FOR INTER CONNECTED POWER SYSTEM DESIGN OF OBSERVER BASED QUASI DECENTRALIZED FUZZY LOAD FREQUENCY CONTROLLER FOR INTER CONNECTED POWER SYSTEM G. Anand 1, R Vjaya Santhi 2 and K. Rama Sudha 2 1 Department of EEE, Dr L B College of Engineering(W),

More information

Contents. 1 State-Space Linear Systems 5. 2 Linearization Causality, Time Invariance, and Linearity 31

Contents. 1 State-Space Linear Systems 5. 2 Linearization Causality, Time Invariance, and Linearity 31 Contents Preamble xiii Linear Systems I Basic Concepts 1 I System Representation 3 1 State-Space Linear Systems 5 1.1 State-Space Linear Systems 5 1.2 Block Diagrams 7 1.3 Exercises 11 2 Linearization

More information

Control Systems Lab - SC4070 Control techniques

Control Systems Lab - SC4070 Control techniques Control Systems Lab - SC4070 Control techniques Dr. Manuel Mazo Jr. Delft Center for Systems and Control (TU Delft) m.mazo@tudelft.nl Tel.:015-2788131 TU Delft, February 16, 2015 (slides modified from

More information

PERFORMANCE ANALYSIS OF TWO-DEGREE-OF-FREEDOM CONTROLLER AND MODEL PREDICTIVE CONTROLLER FOR THREE TANK INTERACTING SYSTEM

PERFORMANCE ANALYSIS OF TWO-DEGREE-OF-FREEDOM CONTROLLER AND MODEL PREDICTIVE CONTROLLER FOR THREE TANK INTERACTING SYSTEM PERFORMANCE ANALYSIS OF TWO-DEGREE-OF-FREEDOM CONTROLLER AND MODEL PREDICTIVE CONTROLLER FOR THREE TANK INTERACTING SYSTEM K.Senthilkumar 1, Dr. D.Angeline Vijula 2, P.Venkadesan 3 1 PG Scholar, Department

More information

Topic # Feedback Control Systems

Topic # Feedback Control Systems Topic #17 16.31 Feedback Control Systems Deterministic LQR Optimal control and the Riccati equation Weight Selection Fall 2007 16.31 17 1 Linear Quadratic Regulator (LQR) Have seen the solutions to the

More information

1 Steady State Error (30 pts)

1 Steady State Error (30 pts) Professor Fearing EECS C28/ME C34 Problem Set Fall 2 Steady State Error (3 pts) Given the following continuous time (CT) system ] ẋ = A x + B u = x + 2 7 ] u(t), y = ] x () a) Given error e(t) = r(t) y(t)

More information

Centralized Supplementary Controller to Stabilize an Islanded AC Microgrid

Centralized Supplementary Controller to Stabilize an Islanded AC Microgrid Centralized Supplementary Controller to Stabilize an Islanded AC Microgrid ESNRajuP Research Scholar, Electrical Engineering IIT Indore Indore, India Email:pesnraju88@gmail.com Trapti Jain Assistant Professor,

More information

AN INTELLIGENT HYBRID FUZZY PID CONTROLLER

AN INTELLIGENT HYBRID FUZZY PID CONTROLLER AN INTELLIGENT CONTROLLER Isin Erenoglu Ibrahim Eksin Engin Yesil Mujde Guzelkaya Istanbul Technical University, Faculty of Electrical and Electronics Engineering, Control Engineering Department, Maslak,

More information

Ê«u œ wko **Ë ögmo qo u * «d u «dJO * * W?? ö)«

Ê«u œ wko **Ë ögmo qo u * «d u «dJO * * W?? ö)« DOI 1.763/s4632-15-14-7 Journal of Engg. Research Vol. 3 No. (2) June 215 pp. 59-78 W Ëb *«V UJ*«ULJ «b U»uKI*«ËbM ««di «Ê«u œ wko **Ë ögmo qo u * «d u «dJO * bmn U M «ôuo U U U WF U en _«Ë WOzU dnj

More information

A Boiler-Turbine System Control Using A Fuzzy Auto-Regressive Moving Average (FARMA) Model

A Boiler-Turbine System Control Using A Fuzzy Auto-Regressive Moving Average (FARMA) Model 142 IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 18, NO. 1, MARCH 2003 A Boiler-Turbine System Control Using A Fuzzy Auto-Regressive Moving Average (FARMA) Model Un-Chul Moon and Kwang Y. Lee, Fellow,

More information

Economic Operation of Power Systems

Economic Operation of Power Systems Economic Operation of Power Systems Section I: Economic Operation Of Power System Economic Distribution of Loads between the Units of a Plant Generating Limits Economic Sharing of Loads between Different

More information

Nonlinear Optimal Tracking Using Finite-Horizon State Dependent Riccati Equation (SDRE)

Nonlinear Optimal Tracking Using Finite-Horizon State Dependent Riccati Equation (SDRE) Nonlinear Optimal Tracking Using Finite-Horizon State Dependent Riccati Equation (SDRE) AHMED KHAMIS Idaho State University Department of Electrical Engineering Pocatello, Idaho USA khamahme@isu.edu D.

More information

Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers

Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers Sensorless DTC-SVM of Induction Motor by Applying Two Neural Controllers Abdallah Farahat Mahmoud Dept. of Electrical Engineering, Al-Azhar University, Qena, Egypt engabdallah2012@azhar.edu.eg Adel S.

More information

Model Predictive Control Design for Nonlinear Process Control Reactor Case Study: CSTR (Continuous Stirred Tank Reactor)

Model Predictive Control Design for Nonlinear Process Control Reactor Case Study: CSTR (Continuous Stirred Tank Reactor) IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 1 (Jul. - Aug. 2013), PP 88-94 Model Predictive Control Design for Nonlinear Process

More information

Feedback Control of Linear SISO systems. Process Dynamics and Control

Feedback Control of Linear SISO systems. Process Dynamics and Control Feedback Control of Linear SISO systems Process Dynamics and Control 1 Open-Loop Process The study of dynamics was limited to open-loop systems Observe process behavior as a result of specific input signals

More information

DESIGNING POWER SYSTEM STABILIZER WITH PID CONTROLLER

DESIGNING POWER SYSTEM STABILIZER WITH PID CONTROLLER International Journal on Technical and Physical Problems of Engineering (IJTPE) Published by International Organization on TPE (IOTPE) ISSN 2077-3528 IJTPE Journal www.iotpe.com ijtpe@iotpe.com June 2010

More information

Robust Actuator Fault Detection and Isolation in a Multi-Area Interconnected Power System

Robust Actuator Fault Detection and Isolation in a Multi-Area Interconnected Power System Proceedings of the World Congress on Engineering 2011 Vol II, July 6-8, 2011, London, U.K. Robust Actuator Fault Detection and Isolation in a Multi-Area Interconnected Power System Istemihan Genc, and

More information

GAIN SCHEDULING CONTROL WITH MULTI-LOOP PID FOR 2- DOF ARM ROBOT TRAJECTORY CONTROL

GAIN SCHEDULING CONTROL WITH MULTI-LOOP PID FOR 2- DOF ARM ROBOT TRAJECTORY CONTROL GAIN SCHEDULING CONTROL WITH MULTI-LOOP PID FOR 2- DOF ARM ROBOT TRAJECTORY CONTROL 1 KHALED M. HELAL, 2 MOSTAFA R.A. ATIA, 3 MOHAMED I. ABU EL-SEBAH 1, 2 Mechanical Engineering Department ARAB ACADEMY

More information

Performance assessment of MIMO systems under partial information

Performance assessment of MIMO systems under partial information Performance assessment of MIMO systems under partial information H Xia P Majecki A Ordys M Grimble Abstract Minimum variance (MV) can characterize the most fundamental performance limitation of a system,

More information

-MASTER THESIS- ADVANCED ACTIVE POWER AND FREQUENCY CONTROL OF WIND POWER PLANTS

-MASTER THESIS- ADVANCED ACTIVE POWER AND FREQUENCY CONTROL OF WIND POWER PLANTS -MASTER THESIS- ADVANCED ACTIVE POWER AND FREQUENCY CONTROL OF WIND POWER PLANTS C L AU D I U I O N I TA 1, 2, A L I N G EO R G E R A D U C U 1, F LO R I N I OV 2 1 V A T T E N F A L L W I N D P O W E

More information

H-Infinity Controller Design for a Continuous Stirred Tank Reactor

H-Infinity Controller Design for a Continuous Stirred Tank Reactor International Journal of Electronic and Electrical Engineering. ISSN 974-2174 Volume 7, Number 8 (214), pp. 767-772 International Research Publication House http://www.irphouse.com H-Infinity Controller

More information

A Power System Dynamic Simulation Program Using MATLAB/ Simulink

A Power System Dynamic Simulation Program Using MATLAB/ Simulink A Power System Dynamic Simulation Program Using MATLAB/ Simulink Linash P. Kunjumuhammed Post doctoral fellow, Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom

More information

Lecture 12. Upcoming labs: Final Exam on 12/21/2015 (Monday)10:30-12:30

Lecture 12. Upcoming labs: Final Exam on 12/21/2015 (Monday)10:30-12:30 289 Upcoming labs: Lecture 12 Lab 20: Internal model control (finish up) Lab 22: Force or Torque control experiments [Integrative] (2-3 sessions) Final Exam on 12/21/2015 (Monday)10:30-12:30 Today: Recap

More information

Performance Improvement of Hydro-Thermal System with Superconducting Magnetic Energy Storage

Performance Improvement of Hydro-Thermal System with Superconducting Magnetic Energy Storage Volume 114 No. 10 2017, 397-405 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Performance Improvement of Hydro-Thermal System with Superconducting

More information

EE C128 / ME C134 Feedback Control Systems

EE C128 / ME C134 Feedback Control Systems EE C128 / ME C134 Feedback Control Systems Lecture Additional Material Introduction to Model Predictive Control Maximilian Balandat Department of Electrical Engineering & Computer Science University of

More information

Control of Chatter using Active Magnetic Bearings

Control of Chatter using Active Magnetic Bearings Control of Chatter using Active Magnetic Bearings Carl R. Knospe University of Virginia Opportunity Chatter is a machining process instability that inhibits higher metal removal rates (MRR) and accelerates

More information

Digital Control Engineering Analysis and Design

Digital Control Engineering Analysis and Design Digital Control Engineering Analysis and Design M. Sami Fadali Antonio Visioli AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO Academic Press is

More information

APPLICATION OF D-K ITERATION TECHNIQUE BASED ON H ROBUST CONTROL THEORY FOR POWER SYSTEM STABILIZER DESIGN

APPLICATION OF D-K ITERATION TECHNIQUE BASED ON H ROBUST CONTROL THEORY FOR POWER SYSTEM STABILIZER DESIGN APPLICATION OF D-K ITERATION TECHNIQUE BASED ON H ROBUST CONTROL THEORY FOR POWER SYSTEM STABILIZER DESIGN Amitava Sil 1 and S Paul 2 1 Department of Electrical & Electronics Engineering, Neotia Institute

More information

CHAPTER-3 MODELING OF INTERCONNECTED AC-DC POWER SYSTEMS

CHAPTER-3 MODELING OF INTERCONNECTED AC-DC POWER SYSTEMS 35 CHAPER-3 MODELING OF INERCONNECED AC-DC POWER SYSEMS 3. INRODUCION he modeling of power system is essential before entering into the design of Load Frequency Control (LFC). In this chapter, a model

More information

Overview of the Seminar Topic

Overview of the Seminar Topic Overview of the Seminar Topic Simo Särkkä Laboratory of Computational Engineering Helsinki University of Technology September 17, 2007 Contents 1 What is Control Theory? 2 History

More information

Contents. PART I METHODS AND CONCEPTS 2. Transfer Function Approach Frequency Domain Representations... 42

Contents. PART I METHODS AND CONCEPTS 2. Transfer Function Approach Frequency Domain Representations... 42 Contents Preface.............................................. xiii 1. Introduction......................................... 1 1.1 Continuous and Discrete Control Systems................. 4 1.2 Open-Loop

More information

Gain-scheduled Linear Quadratic Control of Wind Turbines Operating at High Wind Speed

Gain-scheduled Linear Quadratic Control of Wind Turbines Operating at High Wind Speed 16th IEEE International Conference on Control Applications Part of IEEE Multi-conference on Systems and Control Singapore, 1-3 October 7 Gain-scheduled Linear Quadratic Control of Wind Turbines Operating

More information

OPTIMAL CONTROL. Sadegh Bolouki. Lecture slides for ECE 515. University of Illinois, Urbana-Champaign. Fall S. Bolouki (UIUC) 1 / 28

OPTIMAL CONTROL. Sadegh Bolouki. Lecture slides for ECE 515. University of Illinois, Urbana-Champaign. Fall S. Bolouki (UIUC) 1 / 28 OPTIMAL CONTROL Sadegh Bolouki Lecture slides for ECE 515 University of Illinois, Urbana-Champaign Fall 2016 S. Bolouki (UIUC) 1 / 28 (Example from Optimal Control Theory, Kirk) Objective: To get from

More information