PI-funnel control with Anti-windup

Size: px
Start display at page:

Download "PI-funnel control with Anti-windup"

Transcription

1 PI-funnel control with Anti-windup Christoph Hackl Technische Universität München Institute for Electrical Drive Systems and Power Electronics 52 nd IEEE Conference on Decision and Control, Florence 13 th December /12/213 Christoph Hackl: PI-funnel control with Anti-windup Page 1/15

2 Outline 1 PI-funnel control 2 PI-funnel control with Anti-windup 3 Conclusions and future work 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 2/15

3 Funnel control [Ilchmann et al., 22] ψpq epq ψptq eptq λ t Time t rss ψpq Funnel Tracking with prescribed transient accuracy by design of ψp q, ě : eptq y ref ptq yptq ă ψptq Controller uptq 1 ψptq eptq loooooomoooooon :kptq eptq 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 3/15

4 Admissible system class Structural knowledge sufficient: relative degree one (or known relative degree [Ilchmann et al., 27]) BIBO stable zero dynamics (or minimum phase for linear systems) known sign of the high-frequency gain Example (LTI SISO system in Byrnes-Isidori form) d dt ˆyptq zptq j a1 a J 2 ˆyptq a 3 A 4 zptq ˆ γ ` uptq, n 1 ˆypq zpq ˆy P R n z γ specpa 4 q P C ă signpγ q known 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 4/15

5 FC with internal model [Ilchmann and Ryan, 26]? y ref e 1 ψ e e v internal model u e.g. F R psq augmented system linear system e.g. F S psq y Example ( Augmented system in the frequency domain) PI controller: F R psq k P ` ki s kp s`ki s, k P, k I ą system: F S psq 1`s s 2 s`1 kp s`ki 1`s augmented system : F R psqf S psq s s 2 s`1 ùñ lim tñ8 eptq for y ref p q const. 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 5/15

6 PI-funnel control for electrical drives [Ilchmann and Schuster, 29] implementation (xpc target) m L laboratory setup y ref e 1 ψ e e v 9x I k I v u k P v `x I u ω ω ` 9n m 9n m Scenario 1: y ref p q 1 rrad{ss Scenario 2: y ref p q 1 rrad{ss 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 6/15

7 Measurement results for y ref p q 1: PI-FC ω+ṅm [rad/s] y ref ( ) e [rad/s] k [Nms/rad] 2 ±ψ( ) u [Nm] 2 m L ( ) time t[s] 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 7/15

8 Measurement results for y ref p q 1: PI-FC ω+ṅm [rad/s] e [rad/s] k [Nms/rad] y ref ( ) y ref ( )±ψ( ) ±ψ( ) u [Nm] 2 m L ( ) 2 ±û A time t [s] 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 8/15

9 PI-funnel control with saturation implementation (xpc target) y ref e 1 ψ e e v? 9x I k I v u k P v `x I u m L satûa p q laboratory setup ω ω ` 9n m 9n m Tracking with prescribed transient accuracy endangered, ě : eptq ă ψptq? 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 9/15

10 Funnel control with saturation [Hopfe et al., 21] implementation (xpc target) m L satûa p q laboratory setup y ref e 1 ψ e e u ω ω ` 9n m 9n m û A ě u feas u feas py ref,ψ, system,...q ě : ψptq eptq ě ε! ) λ ε ď min 2, ψpq epq, λ 2pû A` m L 8q u feas conservative (for setup u feas «63 rnms) 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 1/15

11 PI controller with Anti-windup ( conditional integration ) v k P u satûa p q u sat k I 9x I x I f aw p q PI aw û A System theoretical interpretation: q P CpR ě ;Rq ě : x I ptq ď maxtû A, x I pqu : x max I ùñ Anti-windup: x I p q acts as bounded input disturbance 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 11/15

12 PI-funnel control with saturation implementation (xpc target) y ref e 1 ψ e e v 9x I f awpuqk I v u k P v `x I u m L satûa p q laboratory setup ω ω ` 9n m 9n m û A ě u feas u feas py ref,ψ, system,...q ě : ψptq eptq ě ε! ) λ ε ď min 2, ψpq epq, k Pλ 2pû A`x max ` m L 8q u feas «63 rnms I 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 12/15

13 Results for y ref p q 1: PI-FC, PI aw -FC ω+nm [rad/s] e [rad/s] k [Nms/rad] y ref ( ) y ref ( )±ψ E ( ) ±ψ E ( ) u [Nm] 2 m L ( ) 2 ±û A time t [s] 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 13/15

14 Conclusions and future work To take home: PI-funnel control: windup possible use of anti-windup ( conditional integration ) windup eliminated improved control performance (no saw tooth response ) integral control action acts as bounded input disturbance ùñ PI aw -funnel control admissible for systems with saturation Open questions: extension feasible?... PI-funnel control for systems with relative degree two?... funnel control with internal model?... different anti-windup strategies beneficial? 13/12/213 PI-funnel control with Anti-windup, Christoph Hackl 14/15

15 References N. Hopfe, A. Ilchmann, and E. P. Ryan. Funnel control with saturation: Nonlinear SISO systems. IEEE Transactions on Automatic Control, 55(9): , 21. A. Ilchmann and E. P. Ryan. Asymptotic tracking with prescribed transient behaviour for linear systems. International Journal of Control, 79(8):91 917, 26. A. Ilchmann and H. Schuster. PI-funnel control for two mass systems. IEEE Transactions on Automatic Control, 54(4): , 29. A. Ilchmann, E. P. Ryan, and C. J. Sangwin. Tracking with prescribed transient behaviour. ESAIM: Control, Optimisation and Calculus of Variations, 7: , 22. A. Ilchmann, E. Ryan, and P. Townsend. Tracking with prescribed transient behaviour for nonlinear systems of known relative degree. SIAM Journal on Control and Optimization, 46(1): 21 23, /12/213 PI-funnel control with Anti-windup, Christoph Hackl 15/15

Speed funnel control with disturbance observer for wind turbine systems with elastic shaft

Speed funnel control with disturbance observer for wind turbine systems with elastic shaft Speed funnel control with disturbance observer for wind turbine systems with elastic shaft Christoph Hackl (TUM) Munich School of Engineering (MSE) Research group Control of Renewable Energy Systems (CRES)

More information

Funnel control in mechatronics: An overview

Funnel control in mechatronics: An overview Funnel control in mechatronics: An overview Position funnel control of stiff industrial servo-systems C.M. Hackl 1, A.G. Hofmann 2 and R.M. Kennel 1 1 Institute for Electrical Drive Systems and Power Electronics

More information

Non-identifier based adaptive control in mechatronics

Non-identifier based adaptive control in mechatronics Non-identifier based adaptive control in mechatronics 2.5 Application: Speed and current control of electrical drives Christoph Hackl Munich School of Engineering (MSE) Research group Control of renewable

More information

Non-identifier based adaptive control in mechatronics: An overview

Non-identifier based adaptive control in mechatronics: An overview Non-identifier based adaptive control in mechatronics: An overview Christoph Hackl (TUM) Munich School of Engineering (MSE) IEEE Guest Lecture sponsored by IEEE IAS/IES/PELS Joint SA Chapter 25th April

More information

Non-identifier based adaptive control in mechatronics 3.1 High-gain adaptive stabilization and & 3.2 High-gain adaptive tracking

Non-identifier based adaptive control in mechatronics 3.1 High-gain adaptive stabilization and & 3.2 High-gain adaptive tracking Non-identifier based adaptive control in mechatronics 3.1 High-gain adaptive stabilization and & 3. High-gain adaptive tracking Christoph Hackl Munich School of Engineering (MSE) Research group Control

More information

Current PI-funnel control with anti-windup for reluctance synchronous machines (RSMs)

Current PI-funnel control with anti-windup for reluctance synchronous machines (RSMs) Current PI-funnel control with anti-windup for reluctance synchronous machines (RSMs) Christoph Hackl 12.2.216 Colloquium on the occasion of the 6th birthday of Achim Ilchmann 12.2.216 Christoph Hackl:

More information

The Bang-Bang Funnel Controller

The Bang-Bang Funnel Controller 49th IEEE Conference on Decision and Control December 15-17, 2010 Hilton Atlanta Hotel, Atlanta, GA, USA The Bang-Bang Funnel Controller Daniel Liberzon and Stephan Trenn Abstract A bang-bang controller

More information

FUNNEL CONTROL WITH ONLINEFORESIGHT

FUNNEL CONTROL WITH ONLINEFORESIGHT FUNNEL CONTROL WITH ONLINEFORESIGHT C.M. Hackl and Dierk Schröder Institute for Electrical Drive Systems Technical University of Munich Arcisstr., D-8333 Munich, Germany email: christoph.hackl@tum.de ABSTRACT

More information

Technische Universität Ilmenau Institut für Mathematik

Technische Universität Ilmenau Institut für Mathematik Technische Universität Ilmenau Institut für Mathematik Preprint No. M 1/6 Funnel control for systems with relative degree two Hackl, Christoph; Hopfe, Norman; Ilchmann, Achim; Mueller, Markus; Trenn, Stephan

More information

Non-identifier based adaptive control in mechatronics Lecture notes

Non-identifier based adaptive control in mechatronics Lecture notes Non-identifier based adaptive control in mechatronics Lecture notes SS 2012 July 18, 2012 These notes discuss the content of the lecture of the summer term 2012 in brief form. A more detailed and comprehensive

More information

Modeling and control of renewable energy systems

Modeling and control of renewable energy systems Modeling and control of renewable energy systems Christoph Hackl Technische Universität München (TUM) Munich School of Engineering (MSE) Research group Control of Renewable Energy Systems (CRES) www.cres.mse.tum.de

More information

Funnel control for systems with relative degree two Hackl, Christoph M.; Hopfe, Norman; Ilchmann, Achim; Mueller, Markus; Trenn, Stephan

Funnel control for systems with relative degree two Hackl, Christoph M.; Hopfe, Norman; Ilchmann, Achim; Mueller, Markus; Trenn, Stephan University of Groningen Funnel control for systems with relative degree two Hackl, Christoph M.; Hopfe, Norman; Ilchmann, Achim; Mueller, Markus; Trenn, Stephan Published in: SIAM Journal on Control and

More information

Funnel control with saturation: linear MIMO systems

Funnel control with saturation: linear MIMO systems SUBMISSION: IEEE TRANSACTIONS ON AUTOMATIC CONTROL Funnel control with saturation: linear MIMO systems Norman Hopfe Achim Ilchmann Eugene P. Ryan Abstract Tracking by the system output of a reference signal

More information

MECH 6091 Flight Control Systems Final Course Project

MECH 6091 Flight Control Systems Final Course Project MECH 6091 Flight Control Systems Final Course Project F-16 Autopilot Design Lizeth Buendia Rodrigo Lezama Daniel Delgado December 16, 2011 1 AGENDA Theoretical Background F-16 Model and Linearization Controller

More information

Input constrained funnel control with applications to chemical reactor models

Input constrained funnel control with applications to chemical reactor models Available online at www.sciencedirect.com Systems & Control Letters ( ) www.elsevier.com/locate/sysconle Input constrained funnel control with applications to chemical reactor models Achim Ilchmann a;,

More information

Output Feedback Stabilization with Prescribed Performance for Uncertain Nonlinear Systems in Canonical Form

Output Feedback Stabilization with Prescribed Performance for Uncertain Nonlinear Systems in Canonical Form Output Feedback Stabilization with Prescribed Performance for Uncertain Nonlinear Systems in Canonical Form Charalampos P. Bechlioulis, Achilles Theodorakopoulos 2 and George A. Rovithakis 2 Abstract The

More information

cb = 0 and cab > 0 (1.2) sin A b c 0

cb = 0 and cab > 0 (1.2) sin A b c 0 FUNNEL CONTROL FOR SYSTEMS WITH RELATIVE DEGREE TWO CHRISTOPH HACKL, NORMAN HOPFE, ACHIM ILCHMANN, MARKUS MUELLER, AND STEPHAN TRENN Abstract. Tracking of reference signals y ref ( ) by the output y( )

More information

Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies

Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies Nelson Martins - CEPEL Herminio Pinto - CEPEL John J. Paserba - Mitsubishi Electric Products,

More information

Goodwin, Graebe, Salgado, Prentice Hall Chapter 11. Chapter 11. Dealing with Constraints

Goodwin, Graebe, Salgado, Prentice Hall Chapter 11. Chapter 11. Dealing with Constraints Chapter 11 Dealing with Constraints Topics to be covered An ubiquitous problem in control is that all real actuators have limited authority. This implies that they are constrained in amplitude and/or rate

More information

Block seminar Modeling and control of wind turbine systems: An introduction

Block seminar Modeling and control of wind turbine systems: An introduction Block seminar Modeling and control of wind turbine systems: An introduction Christoph Hackl (TUM) Munich School of Engineering (MSE) 22.04.2014 1. Lecture at Stellenbosch University: Modeling of core components

More information

Integrator Windup

Integrator Windup 3.5.2. Integrator Windup 3.5.2.1. Definition So far we have mainly been concerned with linear behaviour, as is often the case with analysis and design of control systems. There is, however, one nonlinear

More information

Lecture 5 Classical Control Overview III. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore

Lecture 5 Classical Control Overview III. Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Lecture 5 Classical Control Overview III Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore A Fundamental Problem in Control Systems Poles of open

More information

Event-triggered PI control: Saturating actuators and anti-windup compensation

Event-triggered PI control: Saturating actuators and anti-windup compensation Event-triggered PI control: Saturating actuators and anti-windup compensation Daniel Lehmann, Georg Aleander Kiener and Karl Henrik Johansson Abstract Event-triggered control aims at reducing the communication

More information

Regional Solution of Constrained LQ Optimal Control

Regional Solution of Constrained LQ Optimal Control Regional Solution of Constrained LQ Optimal Control José DeDoná September 2004 Outline 1 Recap on the Solution for N = 2 2 Regional Explicit Solution Comparison with the Maximal Output Admissible Set 3

More information

Robust Adaptive Attitude Control of a Spacecraft

Robust Adaptive Attitude Control of a Spacecraft Robust Adaptive Attitude Control of a Spacecraft AER1503 Spacecraft Dynamics and Controls II April 24, 2015 Christopher Au Agenda Introduction Model Formulation Controller Designs Simulation Results 2

More information

Mariusz Jurkiewicz, Bogdan Przeradzki EXISTENCE OF SOLUTIONS FOR HIGHER ORDER BVP WITH PARAMETERS VIA CRITICAL POINT THEORY

Mariusz Jurkiewicz, Bogdan Przeradzki EXISTENCE OF SOLUTIONS FOR HIGHER ORDER BVP WITH PARAMETERS VIA CRITICAL POINT THEORY DEMONSTRATIO MATHEMATICA Vol. XLVIII No 1 215 Mariusz Jurkiewicz, Bogdan Przeradzki EXISTENCE OF SOLUTIONS FOR HIGHER ORDER BVP WITH PARAMETERS VIA CRITICAL POINT THEORY Communicated by E. Zadrzyńska Abstract.

More information

Robust Observer for Uncertain T S model of a Synchronous Machine

Robust Observer for Uncertain T S model of a Synchronous Machine Recent Advances in Circuits Communications Signal Processing Robust Observer for Uncertain T S model of a Synchronous Machine OUAALINE Najat ELALAMI Noureddine Laboratory of Automation Computer Engineering

More information

Recent Advances in Positive Systems: The Servomechanism Problem

Recent Advances in Positive Systems: The Servomechanism Problem Recent Advances in Positive Systems: The Servomechanism Problem 47 th IEEE Conference on Decision and Control December 28. Bartek Roszak and Edward J. Davison Systems Control Group, University of Toronto

More information

A Model-Free Control System Based on the Sliding Mode Control Method with Applications to Multi-Input-Multi-Output Systems

A Model-Free Control System Based on the Sliding Mode Control Method with Applications to Multi-Input-Multi-Output Systems Proceedings of the 4 th International Conference of Control, Dynamic Systems, and Robotics (CDSR'17) Toronto, Canada August 21 23, 2017 Paper No. 119 DOI: 10.11159/cdsr17.119 A Model-Free Control System

More information

Nonlinear control of renewable energy systems

Nonlinear control of renewable energy systems Nonlinear control of renewable energy systems Christoph Hackl Technische Universität München (TUM) Munich School of Engineering (MSE) Research group Control of Renewable Energy Systems (CRES) www.cres.mse.tum.de

More information

Output Regulation of Uncertain Nonlinear Systems with Nonlinear Exosystems

Output Regulation of Uncertain Nonlinear Systems with Nonlinear Exosystems Output Regulation of Uncertain Nonlinear Systems with Nonlinear Exosystems Zhengtao Ding Manchester School of Engineering, University of Manchester Oxford Road, Manchester M3 9PL, United Kingdom zhengtaoding@manacuk

More information

An anti-windup control of manufacturing lines: performance analysis

An anti-windup control of manufacturing lines: performance analysis An anti-windup control of manufacturing lines: performance analysis A. Pogromsky Systems Engineering Group Eindhoven University of Technology The Netherlands In cooperation with R. A. van den Berg, W.

More information

PRECISION CONTROL OF LINEAR MOTOR DRIVEN HIGH-SPEED/ACCELERATION ELECTRO-MECHANICAL SYSTEMS. Bin Yao

PRECISION CONTROL OF LINEAR MOTOR DRIVEN HIGH-SPEED/ACCELERATION ELECTRO-MECHANICAL SYSTEMS. Bin Yao PRECISION CONTROL OF LINEAR MOTOR DRIVEN HIGH-SPEED/ACCELERATION ELECTRO-MECHANICAL SYSTEMS Bin Yao Intelligent and Precision Control Laboratory School of Mechanical Engineering Purdue University West

More information

Adaptive Dynamic Inversion Control of a Linear Scalar Plant with Constrained Control Inputs

Adaptive Dynamic Inversion Control of a Linear Scalar Plant with Constrained Control Inputs 5 American Control Conference June 8-, 5. Portland, OR, USA ThA. Adaptive Dynamic Inversion Control of a Linear Scalar Plant with Constrained Control Inputs Monish D. Tandale and John Valasek Abstract

More information

SELF-REPAIRING PI/PID CONTROL AGAINST SENSOR FAILURES. Masanori Takahashi. Received May 2015; revised October 2015

SELF-REPAIRING PI/PID CONTROL AGAINST SENSOR FAILURES. Masanori Takahashi. Received May 2015; revised October 2015 International Journal of Innovative Computing, Information and Control ICIC International c 2016 ISSN 1349-4198 Volume 12, Number 1, February 2016 pp. 193 202 SELF-REPAIRING PI/PID CONTROL AGAINST SENSOR

More information

STABILITY AND STABILIZATION OF A CLASS OF NONLINEAR SYSTEMS WITH SATURATING ACTUATORS. Eugênio B. Castelan,1 Sophie Tarbouriech Isabelle Queinnec

STABILITY AND STABILIZATION OF A CLASS OF NONLINEAR SYSTEMS WITH SATURATING ACTUATORS. Eugênio B. Castelan,1 Sophie Tarbouriech Isabelle Queinnec STABILITY AND STABILIZATION OF A CLASS OF NONLINEAR SYSTEMS WITH SATURATING ACTUATORS Eugênio B. Castelan,1 Sophie Tarbouriech Isabelle Queinnec DAS-CTC-UFSC P.O. Box 476, 88040-900 Florianópolis, SC,

More information

Graph and Controller Design for Disturbance Attenuation in Consensus Networks

Graph and Controller Design for Disturbance Attenuation in Consensus Networks 203 3th International Conference on Control, Automation and Systems (ICCAS 203) Oct. 20-23, 203 in Kimdaejung Convention Center, Gwangju, Korea Graph and Controller Design for Disturbance Attenuation in

More information

Robust control for a multi-stage evaporation plant in the presence of uncertainties

Robust control for a multi-stage evaporation plant in the presence of uncertainties Preprint 11th IFAC Symposium on Dynamics and Control of Process Systems including Biosystems June 6-8 16. NTNU Trondheim Norway Robust control for a multi-stage evaporation plant in the presence of uncertainties

More information

Anti-Windup Design for Synchronous Machines. Journée GT CSE (MACS/SEEDS) Paris, May 17th, 2018

Anti-Windup Design for Synchronous Machines. Journée GT CSE (MACS/SEEDS) Paris, May 17th, 2018 1 / 39 Anti-Windup Design for Synchronous Machines Andreea Beciu Giorgio Valmorbida Journée GT CSE (MACS/SEEDS) Paris, May 17th, 218 2 / 39 Outline 1 Motivation: Use of electric machines, PI control 2

More information

Control Systems Design

Control Systems Design ELEC4410 Control Systems Design Lecture 13: Stability Julio H. Braslavsky julio@ee.newcastle.edu.au School of Electrical Engineering and Computer Science Lecture 13: Stability p.1/20 Outline Input-Output

More information

On Stochastic Adaptive Control & its Applications. Bozenna Pasik-Duncan University of Kansas, USA

On Stochastic Adaptive Control & its Applications. Bozenna Pasik-Duncan University of Kansas, USA On Stochastic Adaptive Control & its Applications Bozenna Pasik-Duncan University of Kansas, USA ASEAS Workshop, AFOSR, 23-24 March, 2009 1. Motivation: Work in the 1970's 2. Adaptive Control of Continuous

More information

Toward nonlinear tracking and rejection using LPV control

Toward nonlinear tracking and rejection using LPV control Toward nonlinear tracking and rejection using LPV control Gérard Scorletti, V. Fromion, S. de Hillerin Laboratoire Ampère (CNRS) MaIAGE (INRA) Fondation EADS International Workshop on Robust LPV Control

More information

IMECE NEW APPROACH OF TRACKING CONTROL FOR A CLASS OF NON-MINIMUM PHASE LINEAR SYSTEMS

IMECE NEW APPROACH OF TRACKING CONTROL FOR A CLASS OF NON-MINIMUM PHASE LINEAR SYSTEMS Proceedings of IMECE 27 ASME International Mechanical Engineering Congress and Exposition November -5, 27, Seattle, Washington,USA, USA IMECE27-42237 NEW APPROACH OF TRACKING CONTROL FOR A CLASS OF NON-MINIMUM

More information

ADAPTIVE AND NON-ADAPTIVE CONTROL WITHOUT IDENTIFICATION: A SURVEY

ADAPTIVE AND NON-ADAPTIVE CONTROL WITHOUT IDENTIFICATION: A SURVEY ADAPTIVE AND NON-ADAPTIVE CONTROL WITHOUT IDENTIFICATION: A SURVEY ACHIM ILCHMANN AND EUGENE P. RYAN Abstract. Three related but distinct scenarios for tracking control of uncertain systems are reviewed:

More information

The Role of Exosystems in Output Regulation

The Role of Exosystems in Output Regulation 1 The Role of Exosystems in Output Regulation Lassi Paunonen In this paper we study the role of the exosystem in the theory of output regulation for linear infinite-dimensional systems. The main result

More information

High-Gain Observers in Nonlinear Feedback Control. Lecture # 3 Regulation

High-Gain Observers in Nonlinear Feedback Control. Lecture # 3 Regulation High-Gain Observers in Nonlinear Feedback Control Lecture # 3 Regulation High-Gain ObserversinNonlinear Feedback ControlLecture # 3Regulation p. 1/5 Internal Model Principle d r Servo- Stabilizing u y

More information

I. D. Landau, A. Karimi: A Course on Adaptive Control Adaptive Control. Part 9: Adaptive Control with Multiple Models and Switching

I. D. Landau, A. Karimi: A Course on Adaptive Control Adaptive Control. Part 9: Adaptive Control with Multiple Models and Switching I. D. Landau, A. Karimi: A Course on Adaptive Control - 5 1 Adaptive Control Part 9: Adaptive Control with Multiple Models and Switching I. D. Landau, A. Karimi: A Course on Adaptive Control - 5 2 Outline

More information

IEOR 265 Lecture 14 (Robust) Linear Tube MPC

IEOR 265 Lecture 14 (Robust) Linear Tube MPC IEOR 265 Lecture 14 (Robust) Linear Tube MPC 1 LTI System with Uncertainty Suppose we have an LTI system in discrete time with disturbance: x n+1 = Ax n + Bu n + d n, where d n W for a bounded polytope

More information

Outline. Classical Control. Lecture 1

Outline. Classical Control. Lecture 1 Outline Outline Outline 1 Introduction 2 Prerequisites Block diagram for system modeling Modeling Mechanical Electrical Outline Introduction Background Basic Systems Models/Transfers functions 1 Introduction

More information

Global stabilization of feedforward systems with exponentially unstable Jacobian linearization

Global stabilization of feedforward systems with exponentially unstable Jacobian linearization Global stabilization of feedforward systems with exponentially unstable Jacobian linearization F Grognard, R Sepulchre, G Bastin Center for Systems Engineering and Applied Mechanics Université catholique

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

Markov Chains. Andreas Klappenecker by Andreas Klappenecker. All rights reserved. Texas A&M University

Markov Chains. Andreas Klappenecker by Andreas Klappenecker. All rights reserved. Texas A&M University Markov Chains Andreas Klappenecker Texas A&M University 208 by Andreas Klappenecker. All rights reserved. / 58 Stochastic Processes A stochastic process X tx ptq: t P T u is a collection of random variables.

More information

Single-Input-Single-Output Systems

Single-Input-Single-Output Systems TF 502 Single-Input-Single-Output Systems SIST, ShanghaiTech Introduction Open-Loop Control-Response Proportional Control General PID Control Boris Houska 1-1 Contents Introduction Open-Loop Control-Response

More information

A Globally Stabilizing Receding Horizon Controller for Neutrally Stable Linear Systems with Input Constraints 1

A Globally Stabilizing Receding Horizon Controller for Neutrally Stable Linear Systems with Input Constraints 1 A Globally Stabilizing Receding Horizon Controller for Neutrally Stable Linear Systems with Input Constraints 1 Ali Jadbabaie, Claudio De Persis, and Tae-Woong Yoon 2 Department of Electrical Engineering

More information

Finite Set Control Transcription for Optimal Control Applications

Finite Set Control Transcription for Optimal Control Applications Finite Set Control Transcription for Optimal Control Stuart A. Stanton 1 Belinda G. Marchand 2 Department of Aerospace Engineering and Engineering Mechanics The University of Texas at Austin 19th AAS/AIAA

More information

Is Monopoli s Model Reference Adaptive Controller Correct?

Is Monopoli s Model Reference Adaptive Controller Correct? Is Monopoli s Model Reference Adaptive Controller Correct? A. S. Morse Center for Computational Vision and Control Department of Electrical Engineering Yale University, New Haven, CT 06520 USA April 9,

More information

Exam. 135 minutes, 15 minutes reading time

Exam. 135 minutes, 15 minutes reading time Exam August 15, 2017 Control Systems I (151-0591-00L) Prof Emilio Frazzoli Exam Exam Duration: 135 minutes, 15 minutes reading time Number of Problems: 44 Number of Points: 52 Permitted aids: Important:

More information

Robust Anti-Windup Compensation for PID Controllers

Robust Anti-Windup Compensation for PID Controllers Robust Anti-Windup Compensation for PID Controllers ADDISON RIOS-BOLIVAR Universidad de Los Andes Av. Tulio Febres, Mérida 511 VENEZUELA FRANCKLIN RIVAS-ECHEVERRIA Universidad de Los Andes Av. Tulio Febres,

More information

Represent this system in terms of a block diagram consisting only of. g From Newton s law: 2 : θ sin θ 9 θ ` T

Represent this system in terms of a block diagram consisting only of. g From Newton s law: 2 : θ sin θ 9 θ ` T Exercise (Block diagram decomposition). Consider a system P that maps each input to the solutions of 9 4 ` 3 9 Represent this system in terms of a block diagram consisting only of integrator systems, represented

More information

Posture regulation for unicycle-like robots with. prescribed performance guarantees

Posture regulation for unicycle-like robots with. prescribed performance guarantees Posture regulation for unicycle-like robots with prescribed performance guarantees Martina Zambelli, Yiannis Karayiannidis 2 and Dimos V. Dimarogonas ACCESS Linnaeus Center and Centre for Autonomous Systems,

More information

Event-triggered control subject to actuator saturation

Event-triggered control subject to actuator saturation Event-triggered control subject to actuator saturation GEORG A. KIENER Degree project in Automatic Control Master's thesis Stockholm, Sweden 212 XR-EE-RT 212:9 Diploma Thesis Event-triggered control subject

More information

Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered Controllers

Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered Controllers Preprints of the 0th World Congress The International Federation of Automatic Control Toulouse, France, July 9-14, 017 Formation Control for Multi-Agent Systems with Connectivity Preservation and Event-Triggered

More information

Iterative Learning Control Analysis and Design I

Iterative Learning Control Analysis and Design I Iterative Learning Control Analysis and Design I Electronics and Computer Science University of Southampton Southampton, SO17 1BJ, UK etar@ecs.soton.ac.uk http://www.ecs.soton.ac.uk/ Contents Basics Representations

More information

Robust Stabilization of Jet Engine Compressor in the Presence of Noise and Unmeasured States

Robust Stabilization of Jet Engine Compressor in the Presence of Noise and Unmeasured States obust Stabilization of Jet Engine Compressor in the Presence of Noise and Unmeasured States John A Akpobi, Member, IAENG and Aloagbaye I Momodu Abstract Compressors for jet engines in operation experience

More information

QLC-Based Design of Reference Tracking Controllers for Systems with Asymmetric Saturating Actuators

QLC-Based Design of Reference Tracking Controllers for Systems with Asymmetric Saturating Actuators QLC-Based Design of Reference Tracking Controllers for Systems with Asymmetric Saturating Actuators P. T. abamba, S. M. Meerkov, and H. R. Ossareh Abstract Quasilinear Control (QLC) is a set of methods

More information

CHAPTER 6 : LITERATURE REVIEW

CHAPTER 6 : LITERATURE REVIEW CHAPTER 6 : LITERATURE REVIEW Chapter : LITERATURE REVIEW 77 M E A S U R I N G T H E E F F I C I E N C Y O F D E C I S I O N M A K I N G U N I T S A B S T R A C T A n o n l i n e a r ( n o n c o n v e

More information

P E R E N C O - C H R I S T M A S P A R T Y

P E R E N C O - C H R I S T M A S P A R T Y L E T T I C E L E T T I C E I S A F A M I L Y R U N C O M P A N Y S P A N N I N G T W O G E N E R A T I O N S A N D T H R E E D E C A D E S. B A S E D I N L O N D O N, W E H A V E T H E P E R F E C T R

More information

A Comparison between Integer Order and Non-integer Order Controllers Applied to a Water Levelling System

A Comparison between Integer Order and Non-integer Order Controllers Applied to a Water Levelling System AUTOMATYKA/AUTOMATICS 214 Vol. 18 No. 2 http://dx.doi.org/1.7494/automat.214.18.2.71 Bartosz Kania, Tomasz Dziwiński, Waldemar Bauer, Marta Zagórowska, Jerzy Baranowski A Comparison between Integer Order

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

Online Model Predictive Torque Control for Permanent Magnet Synchronous Motors

Online Model Predictive Torque Control for Permanent Magnet Synchronous Motors Online Model Predictive Torque Control for Permanent Magnet Synchronous Motors Gionata Cimini, Daniele Bernardini, Alberto Bemporad and Stephen Levijoki ODYS Srl General Motors Company 2015 IEEE International

More information

Lecture 7: Anti-windup and friction compensation

Lecture 7: Anti-windup and friction compensation Lecture 7: Anti-windup and friction compensation Compensation for saturations (anti-windup) Friction models Friction compensation Material Lecture slides Course Outline Lecture 1-3 Lecture 2-6 Lecture

More information

ECE-620 Reduced-order model of DFIG-based wind turbines

ECE-620 Reduced-order model of DFIG-based wind turbines ECE-620 Reduced-order model of DFIG-based wind turbines Dr. Héctor A. Pulgar hpulgar@utk Department of Electrical Engineering and Computer Science University of Tennessee, Knoxville November 18, 2015 Dr.

More information

Time-response shaping using Output to Input Saturation Transformation

Time-response shaping using Output to Input Saturation Transformation Submitted to the International Journal of Control Vol., No., Month 2XX, 3 Time-response shaping using Output to Input Saturation Transformation E. Chambon a, L. Burlion a and P. Apkarian a a Onera The

More information

Towards Quantitative Time Domain Design Tradeoffs in Nonlinear Control

Towards Quantitative Time Domain Design Tradeoffs in Nonlinear Control Towards Quantitative Time Domain Design Tradeoffs in Nonlinear Control Rick H. Middleton Julio H. Braslavsky Ingeniería en Automatización y Control Industrial Departamento de Ciencia y Tecnología Universidad

More information

CM 3310 Process Control, Spring Lecture 21

CM 3310 Process Control, Spring Lecture 21 CM 331 Process Control, Spring 217 Instructor: Dr. om Co Lecture 21 (Back to Process Control opics ) General Control Configurations and Schemes. a) Basic Single-Input/Single-Output (SISO) Feedback Figure

More information

Optimizing Economic Performance using Model Predictive Control

Optimizing Economic Performance using Model Predictive Control Optimizing Economic Performance using Model Predictive Control James B. Rawlings Department of Chemical and Biological Engineering Second Workshop on Computational Issues in Nonlinear Control Monterey,

More information

Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables

Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables Dalil Ichalal, Benoît Marx, José Ragot and Didier Maquin Centre de

More information

MATH 1314 Test 2 Review

MATH 1314 Test 2 Review Name: Class: Date: MATH 1314 Test 2 Review Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find ( f + g)(x). f ( x) = 2x 2 2x + 7 g ( x) = 4x 2 2x + 9

More information

CDS 101/110 Homework #7 Solution

CDS 101/110 Homework #7 Solution Amplitude Amplitude CDS / Homework #7 Solution Problem (CDS, CDS ): (5 points) From (.), k i = a = a( a)2 P (a) Note that the above equation is unbounded, so it does not make sense to talk about maximum

More information

Linear Quadratic Regulator (LQR) Design II

Linear Quadratic Regulator (LQR) Design II Lecture 8 Linear Quadratic Regulator LQR) Design II Dr. Radhakant Padhi Asst. Professor Dept. of Aerospace Engineering Indian Institute of Science - Bangalore Outline Stability and Robustness properties

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

Existence of weak adiabatic limit in almost all models of perturbative QFT

Existence of weak adiabatic limit in almost all models of perturbative QFT Existence of weak adiabatic limit in almost all models of perturbative QFT Paweł Duch Jagiellonian University, Cracow, Poland LQP 40 Foundations and Constructive Aspects of Quantum Field Theory, 23.06.2017

More information

Multi-Armed Bandit Formulations for Identification and Control

Multi-Armed Bandit Formulations for Identification and Control Multi-Armed Bandit Formulations for Identification and Control Cristian R. Rojas Joint work with Matías I. Müller and Alexandre Proutiere KTH Royal Institute of Technology, Sweden ERNSI, September 24-27,

More information

An Approach of Robust Iterative Learning Control for Uncertain Systems

An Approach of Robust Iterative Learning Control for Uncertain Systems ,,, 323 E-mail: mxsun@zjut.edu.cn :, Lyapunov( ),,.,,,.,,. :,,, An Approach of Robust Iterative Learning Control for Uncertain Systems Mingxuan Sun, Chaonan Jiang, Yanwei Li College of Information Engineering,

More information

H-infinity Model Reference Controller Design for Magnetic Levitation System

H-infinity Model Reference Controller Design for Magnetic Levitation System H.I. Ali Control and Systems Engineering Department, University of Technology Baghdad, Iraq 6043@uotechnology.edu.iq H-infinity Model Reference Controller Design for Magnetic Levitation System Abstract-

More information

EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS

EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS Journal of ELECTRICAL ENGINEERING, VOL. 59, NO. 5, 2008, 254 259 EXPERIMENTAL COMPARISON OF SATURATED VELOCITY CONTROLLERS FOR DC MOTORS Javier Moreno Valenzuela This paper concerns the velocity control

More information

Digital Control: Summary # 7

Digital Control: Summary # 7 Digital Control: Summary # 7 Proportional, integral and derivative control where K i is controller parameter (gain). It defines the ratio of the control change to the control error. Note that e(k) 0 u(k)

More information

YTÜ Mechanical Engineering Department

YTÜ Mechanical Engineering Department YTÜ Mechanical Engineering Department Lecture of Special Laboratory of Machine Theory, System Dynamics and Control Division Coupled Tank 1 Level Control with using Feedforward PI Controller Lab Report

More information

Global stabilization of a Korteweg-de Vries equation with saturating distributed control

Global stabilization of a Korteweg-de Vries equation with saturating distributed control Global stabilization of a Korteweg-de Vries equation with saturating distributed control Swann MARX 1 A joint work with Eduardo CERPA 2, Christophe PRIEUR 1 and Vincent ANDRIEU 3. 1 GIPSA-lab, Grenoble,

More information

On Output Feedback Control of Infinite-dimensional Systems

On Output Feedback Control of Infinite-dimensional Systems On Output Feedback Control of Infinite-dimensional Systems Dissertation zur Erlangung des akademischen Grades Doctor rerum naturalium Tilman Selig betreut durch Prof. Dr. Achim Ilchmann Prof. Dr. Timo

More information

WE EXAMINE the problem of controlling a fixed linear

WE EXAMINE the problem of controlling a fixed linear 596 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 43, NO 5, MAY 1998 Controller Switching Based on Output Prediction Errors Judith Hocherman-Frommer, Member, IEEE, Sanjeev R Kulkarni, Senior Member, IEEE,

More information

State Estimation of DFIG using an Extended Kalman Filter with an Augmented State Model

State Estimation of DFIG using an Extended Kalman Filter with an Augmented State Model State Estimation of DFIG using an Extended Kalman Filter with an Augmented State Model Mridul Kanti Malaar Department of Electronics and Electrical Engineering Indian Institute of Technology Guwahati,

More information

L 1 Adaptive Output Feedback Controller to Systems of Unknown

L 1 Adaptive Output Feedback Controller to Systems of Unknown Proceedings of the 27 American Control Conference Marriott Marquis Hotel at Times Square New York City, USA, July 11-13, 27 WeB1.1 L 1 Adaptive Output Feedback Controller to Systems of Unknown Dimension

More information

Proportional, Integral & Derivative Control Design. Raktim Bhattacharya

Proportional, Integral & Derivative Control Design. Raktim Bhattacharya AERO 422: Active Controls for Aerospace Vehicles Proportional, ntegral & Derivative Control Design Raktim Bhattacharya Laboratory For Uncertainty Quantification Aerospace Engineering, Texas A&M University

More information

Robust Stabilization of Non-Minimum Phase Nonlinear Systems Using Extended High Gain Observers

Robust Stabilization of Non-Minimum Phase Nonlinear Systems Using Extended High Gain Observers 28 American Control Conference Westin Seattle Hotel, Seattle, Washington, USA June 11-13, 28 WeC15.1 Robust Stabilization of Non-Minimum Phase Nonlinear Systems Using Extended High Gain Observers Shahid

More information

Quadratic Extended Filtering in Nonlinear Systems with Uncertain Observations

Quadratic Extended Filtering in Nonlinear Systems with Uncertain Observations Applied Mathematical Sciences, Vol. 8, 2014, no. 4, 157-172 HIKARI Ltd, www.m-hiari.com http://dx.doi.org/10.12988/ams.2014.311636 Quadratic Extended Filtering in Nonlinear Systems with Uncertain Observations

More information

Event-Triggered Decentralized Dynamic Output Feedback Control for LTI Systems

Event-Triggered Decentralized Dynamic Output Feedback Control for LTI Systems Event-Triggered Decentralized Dynamic Output Feedback Control for LTI Systems Pavankumar Tallapragada Nikhil Chopra Department of Mechanical Engineering, University of Maryland, College Park, 2742 MD,

More information

Automatica. Tracking and disturbance rejection for fully actuated mechanical systems

Automatica. Tracking and disturbance rejection for fully actuated mechanical systems Automatica 44 (8) 863 868 Contents lists available at ScienceDirect Automatica journal homepage: www.elsevier.com/locate/automatica Brief paper Tracking and disturbance rejection for fully actuated mechanical

More information

On the Dual of a Mixed H 2 /l 1 Optimisation Problem

On the Dual of a Mixed H 2 /l 1 Optimisation Problem International Journal of Automation and Computing 1 (2006) 91-98 On the Dual of a Mixed H 2 /l 1 Optimisation Problem Jun Wu, Jian Chu National Key Laboratory of Industrial Control Technology Institute

More information

Systematic Tuning of Nonlinear Power System Controllers

Systematic Tuning of Nonlinear Power System Controllers Proceedings of the 22 IEEE International Conference on Control Applications September 8-2, 22 Glasgow, Scotland, U.K. Systematic Tuning of Nonlinear Power System Controllers Ian A. Hiskens Department of

More information