Modeling, Diagnostics and Process Control Implementation in the DiaS
Modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of process running, or data exchange with other system
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Józef Korbicz and Jan Maciej Ko´scielny (Eds.)
Modeling, Diagnostics and Process Control Implementation in the DiaSter System
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Prof. Józef Korbicz University of Zielona Góra, Institute of Control & Computation Engineering ul. Podgórna 50, 65-246 Zielona Góra Poland E-mail: [email protected] Prof. Jan Maciej Ko´scielny Warsaw University of Technology, Institute of Automatic Control and Robotics Ul. Chodkiewicza 8 02-525 Warszawa Poland E-mail: [email protected]
ISBN 978-3-642-16652-5
e-ISBN 978-3-642-16653-2
DOI 10.1007/978-3-642-16653-2 Library of Congress Control Number: 2010938641 c 2010 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 to 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. Typesetting: Data supplied by the authors Cover Design: Scientific Publishing Services Pvt. Ltd., Chennai, India Printed on acid-free paper 987654321 springer.com
Preface
The continuous increase in the complexity of modern industrial systems and objects as well as growing reliability demands regarding their operation and control quality are serious challenges for further development of the theory and practice of control and technical diagnostics. Thus modern control systems are complex in the sense of implementing numerous functions, such as process variable processing, digital control, process monitoring and alarm indication, graphic visualization of the course of a process, or data exchange with other systems or databases. Moreover, modern control systems are integrated with management systems, which very often cover production and corporate management problems. Hardware and software structures of control systems of complex processes are decentralized and space distributed. Decentralization consists in dividing system operation into many function units working simultaneously. In integrated systems, software for control and visualization creates one information system with a common database. The main driving force behind the development of modern control systems is rapid evolvement of computer techniques, which have forced the standardization of field networks and programming languages of control systems. The enormous possibilities of technical and program realization of control systems permit significant extension of their functi
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