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Set-theoretic Fault-tolerant Control in Multisensor Systems PDF

159 Pages·2013·3.16 MB·English
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Set-theoreticFault-tolerant Control inMultisensorSystems Set-theoretic Fault-tolerant Control in Multisensor Systems Florin Stoican Sorin Olaru Series Editor Francis Castanié Firstpublished2013inGreatBritainandtheUnitedStatesbyISTELtdandJohnWiley&Sons,Inc. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permittedundertheCopyright,DesignsandPatentsAct1988,thispublicationmayonlybereproduced, storedortransmitted,inanyformorbyanymeans,withthepriorpermissioninwritingofthepublishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentionedaddress: ISTELtd JohnWiley&Sons,Inc. 27-37StGeorge’sRoad 111RiverStreet LondonSW194EU Hoboken,NJ07030 UK USA www.iste.co.uk www.wiley.com ©ISTELtd2013 The rights of Florin Stoican and Sorin Olaru to be identified as the authors of this work have been assertedbytheminaccordancewiththeCopyright,DesignsandPatentsAct1988. LibraryofCongressControlNumber: 2013936473 BritishLibraryCataloguing-in-PublicationData ACIPrecordforthisbookisavailablefromtheBritishLibrary ISBN:978-1-84821-565-8 PrintedandboundinGreatBritainbyCPIGroup(UK)Ltd.,Croydon,SurreyCR04YY Table of Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . xi Chapter 1. State of the Art in Fault-tolerant Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1. Fault detection and isolation . . . . . . . . . . . . 4 1.2. Control reconfiguration . . . . . . . . . . . . . . . . 6 1.3. Sets in control . . . . . . . . . . . . . . . . . . . . . 9 1.3.1. Set generalities . . . . . . . . . . . . . . . . . . 11 1.3.2. Set operations . . . . . . . . . . . . . . . . . . . 14 1.3.3. Dynamic systems and sets . . . . . . . . . . . 16 1.3.4. Other set-theoretic issues . . . . . . . . . . . . 18 1.4. Existing set-theoretic methods in FTC . . . . . . 22 Chapter 2. Fault Detection and Isolation in Multisensor Systems . . . . . . . . . . . . . . . . . . . . 27 2.1. Problem statement . . . . . . . . . . . . . . . . . . 28 2.1.1. Multisensor scheme. . . . . . . . . . . . . . . . 29 2.1.2. Fault scenarios . . . . . . . . . . . . . . . . . . . 32 2.2. Fault detection and isolation . . . . . . . . . . . . 35 2.2.1. Partition of the sensor indices . . . . . . . . . 36 2.2.2. Residual sets for FDI . . . . . . . . . . . . . . . 40 vi Set-theoreticFault-tolerantControl 2.3. Recovery mechanism . . . . . . . . . . . . . . . . . 45 2.3.1. Necessary and sufficient conditions . . . . . . 46 2.3.2. Construction of set SR . . . . . . . . . . . . . . 48 j 2.3.3. Inclusion time computation . . . . . . . . . . . 51 Chapter 3. Residual Generation and Reference Governor Design . . . . . . . . . . . . . . . . . . . . . . . 55 3.1. Residual signals . . . . . . . . . . . . . . . . . . . . 56 3.1.1. Measurement equations residual . . . . . . . 57 3.1.2. Observer-based residual . . . . . . . . . . . . . 58 3.1.3. Receding observation window-based residual 62 3.2. Reference governor synthesis . . . . . . . . . . . . 68 Chapter 4. Reconfiguration of the Control Mechanism for Fault-tolerant Control . . . . . . . . 73 4.1. Active FTC with fix gain feedback . . . . . . . . . 76 4.1.1. Fix gain feedback synthesis . . . . . . . . . . . 81 4.1.2. Reference governor synthesis . . . . . . . . . . 86 4.2. Active FTC with MPC control . . . . . . . . . . . . 89 4.2.1. A classic MPC design . . . . . . . . . . . . . . . 89 4.2.2. Toward a cooperative view of FTC-MPC . . . 93 4.3. Passive FTC control . . . . . . . . . . . . . . . . . . 96 4.3.1. Quadratic cost function . . . . . . . . . . . . . 98 4.3.2. Penalty function using the gauge function of the healthy invariant set . . . . . . . . . . . . 99 Chapter 5. Related Problems and Applications . . 103 5.1. Set-theoretic issues . . . . . . . . . . . . . . . . . . 103 5.1.1. Over-approximation methods . . . . . . . . . . 104 5.1.2. Convergence time issues . . . . . . . . . . . . . 105 5.1.3. Cyclic invariance for dwell-time systems. . . 110 5.2. Illustrative examples . . . . . . . . . . . . . . . . . 113 5.2.1. Fault detection and isolation . . . . . . . . . . 114 5.2.2. Recovery mechanism . . . . . . . . . . . . . . . 115 TableofContents vii 5.2.3. Feasible reference generation. . . . . . . . . . 124 5.2.4. Fault-tolerant control results . . . . . . . . . . 126 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . 133 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . 139 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 Preface This books presents and expands upon previous results of the first author’s PhD thesis conducted in SUPELEC, France, under the supervision of the second author. Overall, the book presents an insider view on an emerging research subject: the set-theoretic fault detection and fault-tolerant control design. Based on the authors’ experience, this book aims to open the field to a larger audience. It has to be mentioned that the original research results included in the book are developed from a series of pioneering results obtained by Dr María Seron and Dr José De Doná from Newcastle University (Australia) around 5 years ago. We are grateful for having the chance to collaborate with them in the early days of these developments and subsequently for the rich discussions and continuous support that led to a fruitful collaboration. The current work would not have been possible without using the results they and their team had uncovered. We consider the book to be only an introduction into a vast domain that has the potential to provide novel and interesting approaches to the well-known and studied theory of fault-tolerant control. In particular, we believe that the relationship between set-theoretic methods and fault-tolerant x Set-theoreticFault-tolerantControl control reveals new directions and adds a new dimension. By translating all these fault detection, isolation and control issues into a set-framework, we can (and have) shed light on the geometrical interpretation of these types of schemes. Introduction In engineering applications, there are strict requirements on the stability and performance criteria. In this context, malfunctions in the actuator, sensors or other components of the system might lead to unsatisfactory performance or even instability. To address these issues, a fault-tolerant control (FTC) mechanism needs to be implemented. The main function of such a scheme will be to steer/maintain the process to/in a safe state whenever undesirable events (knownasfaults)occur.Formally,afaultinadynamicsystem is a deviation of the dynamic processes structure or the system parameters from the nominal characterization [BLA 06]. Possible fault sources include permanent causes (such as wear or damage of the components) or temporary causes (due to a temporary change in the work conditions). The cost of design, implementation and maintenance of an FTC system may be significantly higher than that of a traditional control system. Therefore, historically, using an FTC system was justified if safety-critical applications were dealt with [JIA 10]. Indeed, there are safety-critical systems in which faults are not merely inconvenient, but can become catastrophic. The best known (and deadliest) examples are in the chemical industry and aeronautics. Well-known examples of malfunctioning in aircraft incidents are discussed in xii Set-theoreticFault-tolerantControl [MON 83, MAC 03]. In the chemical/oil industry, the Bhopal disaster [LAP 02] or the Piper Alpha explosion [RAM 94] are to be remembered. We may equally mention more recent disasters such as the BP Deepwater Horizon oil spill [NOC 10], the nuclear meltdowns at the Chernobyl [STE 03] and Fukushima plants [POU 06], although these examples are to be analyzed from several points of view such as “complexity of interconnected systems,” “external hazard prevention” and/or “human-machine interaction.” Certainly, the possibility of failure was exacerbated in recent decades by continuous increases in complexity of control schemes: variables, parameters and interconnections. Furthermore, due to continuous miniaturizations and cost reductions, the redundancy of components (e.g. sensors) becomes affordable but subsequently increases the risks (multiple cheap components may increase precision and flexibilitybutalsoincreasetheriskoffailure).Notleast,with the proliferation of computers and the Internet, network control systems are spreading. With them, concepts such as “package loss” and “communication delay” become common issues and can be easily considered to be relevant in the fault-tolerant perspective of the control design. Such issues justify a renewed interest in FTC and, as a result, a great deal of effort was put into developing closed-loop systems which can tolerate faults, while maintaining desirable performance and stability properties [ZHA 08]. The goal of this book is to present a series of advances on arelativelynewapproachinset-theoreticbasedfaultdetection and recovery with their implication on FTC design. Although sets were used in FTC via interval observers for a decade or so, only recently, a strong characterization of the sets with respect to the dynamics (namely the positive

Description:
Fault-tolerant control theory is a well-studied topic but the use of the sets in detection, isolation and/or reconfiguration is rather tangential.The authors of this book propose a systematic analysis of the set-theoretic elements and devise approaches which exploit advanced elements within the fiel
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