Advances in Industrial Control
Arun K. Samantaray • Belkacem Ould Bouamama
Model-based Process Supervision A Bond Gra...
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Advances in Industrial Control
Arun K. Samantaray • Belkacem Ould Bouamama
Model-based Process Supervision A Bond Graph Approach
123
Arun K. Samantaray, PhD Department of Mechanical Engineering Indian Institute of Technology 721302 Kharagpur India
Belkacem Ould Bouamama, PhD LAGIS-UMR CNRS 8146 Ecole Polytechnique de Lille (Polytech'Lille) USTL, Cité Scientifique 59655 Villeneuve d’Ascq Cedex France
ISBN 978-1-84800-158-9
e-ISBN 978-1-84800-159-6
DOI 10.1007/978-1-84800-159-6 Advances in Industrial Control series ISSN 1430-9491 British Library Cataloguing in Publication Data Samantaray, Arun K. Model-based process supervision : a bond graph approach. (Advances in industrial control) 1. Process control - Mathematical models 2. Bond graphs I. Title II. Bouamama, Belkacem Ould 670.4'27'015115 ISBN-13: 9781848001589 Library of Congress Control Number: 2007941548 © 2008 Springer-Verlag London Limited MATLAB® and Simulink® are registered trademarks of The MathWorks, Inc., 3 Apple Hill Drive, Natick, MA 01760-2098, USA. http://www.mathworks.com Mathematica® is a registered trademark of Wolfram Research, Inc., 100 Trade Center Drive, Champaign, IL 61820-7237, USA. http://www.wolfram.com 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 licences 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. Cover design: eStudio Calamar S.L., Girona, Spain Printed on acid-free paper 9 8 7 6 5 4 3 2 1 springer.com
Advances in Industrial Control Series Editors Professor Michael J. Grimble, Professor of Industrial Systems and Director Professor Michael A. Johnson, Professor (Emeritus) of Control Systems and Deputy Director Industrial Control Centre Department of Electronic and Electrical Engineering University of Strathclyde Graham Hills Building 50 George Street Glasgow G1 1QE United Kingdom Series Advisory Board Professor E.F. Camacho Escuela Superior de Ingenieros Universidad de Sevilla Camino de los Descubrimientos s/n 41092 Sevilla Spain Professor S. Engell Lehrstuhl für Anlagensteuerungstechnik Fachbereich Chemietechnik Universität Dortmund 44221 Dortmund Germany Professor G. Goodwin Department of Electrical and Computer Engineering The University of Newcastle Callaghan NSW 2308 Australia Professor T.J. Harris Department of Chemical Engineering Queen’s University Kingston, Ontario K7L 3N6 Canada Professor T.H. Lee Department of Electrical Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576
Professor Emeritus O.P. Malik Department of Electrical and Computer Engineering University of Calgary 2500, University Drive, NW Calgary Alberta T2N 1N4 Canada Professor K.-F. Man Electronic Engineering Department City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong Professor G. Olsson Department of Industrial Electrical Engineering and Automation Lund Institute of Technology Box 118 S-221 00 Lund Sweden Professor A. Ray Pennsylvania State University Department of Mechanical Engineering 0329 Reber Building University Park PA 16802 USA Professor D.E. Seborg Chemical Engineering 3335 Engineering II University of California Santa Barbara Santa Barbara CA 93106 USA Doctor K.K. Tan Department of Electrical Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117576 Professor Ikuo Yamamoto The University of Kitakyushu Department of Mechanical Systems and Environmental Engineering Faculty of Environmental Engineering 1-1, Hibikino,Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135 Japan
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Series Editors’ Foreword
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies}, new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. All evolving engineering disciplines first create a body of fundamental knowledge and then move on to new problem areas. Control engineering has now reached this level of maturity and is tackling new theoretical and applications areas. The field of nonlinear systems is receiving much research attention as are the problems of industrial supervisory control. The twin drivers of research into supervisory control are the use of new technology (computer networks and distributed sensor networks, for example) and the search for theoretical techniques to describe and solve supervisory control application problems. In this field, the Advances in Industrial Control series has recently published an optimisation approach to supervisory control of in-building traffic systems by Sandor Markon and colleagues (Control of Traffic Systems in Buildings). A monograph dealing with the second type of research impetus was that by Emilia Villani and colleagues entitled Modelling and Analysis of Hybrid Supervisory Systems. This particular entry to the series dealt with process industry applications, and is the first book in the series to use hybrid system techniques. Continuing with this trend of work on supervisory systems, we are pleased to welcome Model-based Process Supervision: A Bond Graph Approach by Arun Samantaray and Belkacem Ould Bouamama into the Advances in Industrial Control monograph series. It is really surprising to learn that bond graph techniques have been developing over a forty-five year history since they were invented by Henry Paynter of MIT in 1959. Their main advantages are their generality of application to a very wide range of systems and their rigour and consistency. Thus, the bond graph rigorously
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Series Editors’ Foreword
describes the physical processes in a system, shows the cause and effect relationships active, and allows the further analysis of properties of the process being modelled. Although the pictorial representation of the bond graph may look rather abstract, software is now available for the production, analysis and transformation of bond graph information. In this monograph on model-based process supervision, the authors have written a truly encyclopaedic account of how bond graphs can be used to provide the framework and techniques for process fault monitoring and analysis. It is particular noteworthy that Chapters 1–5 allow the reader to learn about the core bond graph, control, and fault detection concepts and some of these chapters even include problem sections so that the reader can test the skills they have learned. The remainder of the book describes a sequence of highly relevant advanced topics, and applications. A particular strength of the book is the many examples used to illustrate the techniques and the real-world case study material presented. We believe the systematic and thorough development of bond graph, process modelling and fault detection methods presented by the authors will meet the requirements of a very wide range of readers. The early chapters of the book can be used in taught courses or for self-study whilst the later chapters may be more appropriate for the process control expert. Industrial engineers and control academics alike will be interested in the application and case study material presented. This is a very welcome addition to the Advances in Industrial Control monograph series that extends the available range of contributions on supervisory control methods for industry. Industrial Control Centre Glasgow Scotland, UK 2007
M.J. Grimble M.A. Johnson
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