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Diagnosis and Fault-Tolerant Control (eBook, PDF) - Blanke, Mogens; Kinnaert, Michel; Lunze, Jan; Staroswiecki, Marcel
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Fault-tolerant control aims at a graceful degradation of the behaviour of automated systems in case of faults. It satisfies the industrial demand for enhanced availability and safety, in contrast to traditional reactions to faults that bring about sudden shutdowns and loss of availability.
The book presents effective model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault throught the process, to test the fault detectability and to find the redundancies in the process that…mehr

Produktbeschreibung
Fault-tolerant control aims at a graceful degradation of the behaviour of automated systems in case of faults. It satisfies the industrial demand for enhanced availability and safety, in contrast to traditional reactions to faults that bring about sudden shutdowns and loss of availability.

The book presents effective model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault throught the process, to test the fault detectability and to find the redundancies in the process that can be used to ensure fault tolerance. Design methods for diagnostic systems and fault-tolerant controllers are presented for processes that are described by analytical models, by discrete-event models or that can be dealt with as quantised systems. Five case studies on pilot processes show the applicability of the presented methods. The theoretical results are illustrated by two running examples used throughout the book.

The second edition includes new material about reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis. The application examples are extended by a steering-by-wire system and the air path of a diesel engine, both of which include experimental results. The bibliographical notes at the end of all chapters have been up-dated. The chapters end with exercises to be used in lectures.

Autorenporträt
Mogens Blanke is professor in automation and control at the Technical University of Denmark and adjunct professor at Institute of Technical Cybernetics at the Norwegian University of Science and Technology. His research interests include autonomous and fault-tolerant systems, fault diagnosis and systems architecture design to obtain desired safety properties. Professor Blanke's experiences include the development of fault-tolerant control for the Danish Ørsted satellite, for marine automation and control, for mobile robots and for diagnosis for small aircrafts. Professor Blanke is Technical Editor for Fault-Tolerant Systems for IEEE Transactions on Aerospace and Electronic Systems and he is Associate Editor for Control Engineering Practice. Michel Kinnaert is professor in the Department of Control Engineering and System Analysis at the Université Libre de Bruxelles (Belgium). He has held a visiting professor position at the LAGEP at the Université Claude Bernard Lyon 1 and a postdoctoral position at the University of Newcastle (Australia). His research interests include fault diagnosis and fault tolerant control for linear and nonlinear systems with applications in the process industry, in mechatronics and in wind farms. Professor Kinnaert has been the chairman of the IFAC Technical Committee SAFEPROCESS. Jan Lunze is professor of automatic control and head of the Institute of Automation and Computer Control at the Ruhr-Universität Bochum (Germany). His researc h interests include fault diagnosis and reconfigurable control of discrete-event and hybrid systems, control theory with applications in the automotive and process industries, and networked control systems, where he has been the coordinator of a priority program of the German Research Foundation. He is author of numerous research papers and of monographs and textbooks on control theory, discrete-event systems and artificial intelligence with applications to dynamical systems. Marcel Staroswiecki is Honorary Professor of automatic control at the Université des Sciences et Technologies de Lille (France). He is the former head of the Laboratoire d'Automatique et d'Informatique Industrielle de Lille (LAIL-CNRS) and is currently with the Laboratoire SATIE-CNRS at Ecole Normale Supérieure de Cachan. Professor Staroswiecki and his group have been working on fault detection, isolation and recovery algorithms since 1986. His research addresses model, signal and data-based approaches to the supervision of complex and embedded systems with emphasis on structural analysis, intelligent instruments and components, and applications in the process industry and to transportation systems.
Rezensionen
From the reviews: "The book by Blanke et. al covers several model-based failure detection techniques. ... A large portion of the book is devoted to presenting alternative modeling techniques. ... the book is suited for those who want to begin researching failure detection and want to learn about some of the ideas examined recently in the literature." (IEEE Control Systems Magazine, Vol. 25 (1), February, 2005) "There are many processes where overall failure would be expensive or even catastrophic and there is reason to use one of the techniques described in this book. ... Some of the material is in fact published here for the first time. ... The book under review must clearly be unrivalled as the standard textbook and reference source in its field." (Robotica, Vol. 22, 2004) "The book introduces the main ideas of fault diagnosis and fault-tolerant control. It gives a systematic survey of the new methods that have been developed in recent years and illustrates them by application examples. It is important to mention that all major aspects of fault-tolerant control are treated for the first time in a single book from a common viewpoint. ... With respect to fault accommodation and control reconfiguration, the book presents the current state of the art." (Tzvetan Semerdjiev, Zentralblatt MATH, Vol. 1023, 2003)