Multivariable Process Identification

Chapters 5–7 present several new PID controller design methods for MIMO systems but all these methods are model-based. That’s why system identification plays an important role in the control engineering. This chapter focuses on system identification for b

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373

Qing-Guo Wang, Zhen Ye, Wen-Jian Cai, Chang-Chieh Hang

PID Control for Multivariable Processes

ABC

Series Advisory Board F. Allgöwer, P. Fleming, P. Kokotovic, A.B. Kurzhanski, H. Kwakernaak, A. Rantzer, J.N. Tsitsiklis

Authors Qing-Guo Wang

Wen-Jian Cai

Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore Email: [email protected]

School of Electrical & Electronic Engineering Nanyang Technological University Singapore 639798 Republic of Singapore Email: [email protected]

Zhen Ye

Chang-Chieh Hang

Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore

Department of Electrical & Computer Engineering National University of Singapore 10 Kent Ridge Crescent Singapore 119260 Republic of Singapore Email: [email protected]

ISBN 978-3-540-78481-4

e-ISBN 978-3-540-78482-1

DOI 10.1007/978-3-540-78482-1 Lecture Notes in Control and Information Sciences

ISSN 0170-8643

Library of Congress Control Number: 2008921515 c 2008 

Springer-Verlag Berlin Heidelberg

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable for prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typeset & Cover Design: Scientific Publishing Services Pvt. Ltd., Chennai, India. Printed in acid-free paper 543210 springer.com

Preface

There are rich theories and designs for general control systems, but usually, they will not lead to PID controllers. Noting that the PID controller has been the most popular one in industry for over fifty years, we will confine our discussion here to PID control only. PID control has been an important research topic since 1950’s, and causes remarkable activities for the last two decades. Most of the existing works have been on the single variable PID control and its theory and design are well established, understood and practically applied. However, most industrial processes are of multivariable nature. It is not rare that the overall multivariable PID control system could fail although each PID loop may work well. Thus, demand for addressing multivariable interactions is high for successful application of PID control in multivariable processes and it is evident from major leading control companies who all