Applied Control Systems Design
Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models
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Magdi S. Mahmoud r Yuanqing Xia
Applied Control Systems Design
Magdi S. Mahmoud Department of Systems Engineering King Fahad Univ. of Petroleum & Minerals Dhahran, Saudi Arabia
Prof. Yuanqing Xia Dept. Automatic Control Beijing Institute of Technology Beijing, China, People’s Republic
ISBN 978-1-4471-2878-6 e-ISBN 978-1-4471-2879-3 DOI 10.1007/978-1-4471-2879-3 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2012936365 © Springer-Verlag London Limited 2012 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of 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 laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
An integral part of control systems engineering is the development of controller design methods to achieve some prescribed performance criteria. It has been one of the most active research areas in the past decades. A common denominator of these methods is the availability of a mathematical model that is derived from physical laws, practical consideration or identification of real data. Several important issues arises including the quality and nature of the model, the performance criteria and control design approach. This book provides a guided tour of applied control system design. The starting point is the construction of system models based on real experimental data. These models will be evaluated and tested using standard signals. A wide spectrum of control design methods will be applied to these models. Closed-loop system responses will be obtained and compared. The end result is to provide an experience-based recipe that can serve as check-list for researchers or control designers. In this regard, the book unifies the methods for developing feedback controllers and filters for a wide class of dynamical systems and reports on the recent advances in design methodologies. Throughout the book, the use of MATLAB is the vehicle for all methods of analysis and design. After an introductory chapter, the book is divided into eight sel
