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Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches

Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches
Kataloginformation
Feldname Details
Vorliegende Sprache eng
ISBN 978-3-319-03013-5
Name Witczak, Marcin
T I T E L Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems
Zusatz zum Titel Analytical and Soft Computing Approaches
Verlagsort Cham ; s.l.
Verlag Springer International Publishing
Erscheinungsjahr 2014
2014
Umfang Online-Ressource (XVI, 229 p. 117 illus, online resource)
Reihe Lecture Notes in Electrical Engineering ; 266
Notiz / Fußnoten Description based upon print version of record
Weiterer Inhalt Preface; Contents; Symbols; Abbreviations; 1 Introduction; 1.1 Introductory Background; 1.2 Content; References; Part IRobust Fault Diagnosis; 2 Unknown Input Observers and Filters; 2.1 Unknown Input Decoupling; 2.2 Preventing Fault Decoupling; 2.3 First- and Second-order Extended Unknown Input Observers; 2.3.1 Convergence Analysis; 2.3.2 Design Principles; 2.4 Unscented Kalman Filter; 2.4.1 Unscented Transform; 2.4.2 Principle of the UKF-based UIF; 2.5 Determination of an Unknown Input Distribution Matrix; 2.6 Design of the UIF with Varying Unknown Input Distribution Matrices. 2.7 Illustrative Examples2.7.1 Estimation of E for an Induction Motor; 2.7.2 Varying E Case; 2.7.3 Fault Detection and Isolation of a Two-Tank System; 2.7.4 First- Versus Second-order EUIO; 2.8 Concluding Remarks; References; 3 Neural Network-based Approaches to Fault Diagnosis; 3.1 Robust Fault Detection with the Multi-Layer Perceptron; 3.1.1 Illustrative Example; 3.1.2 Algorithms and Properties of D-OED for Neural Networks; 3.1.3 Industrial Application; 3.2 GMDH Neural Networks; 3.2.1 Model Uncertainty in the GMDH Neural Network; 3.2.2 Bounded-Error Approach. 3.2.3 Synthesis of the GMDH Neural Network Via the BEA3.2.4 Robust Fault Detection with the GMDH Model; 3.2.5 Alternative Robust Fault Detection Procedure: A Backward Detection Test; 3.2.6 Industrial Application; 3.3 Concluding Remarks; References; Part IIIntegrated Fault Diagnosis and Control; 4 Integrated Fault Diagnosis and Control: Principles and Design Strategies; 4.1 FTC Strategy; 4.1.1 Fault Identification; 4.1.2 Stabilisation Problem; 4.1.3 Observer Design; 4.1.4 Integrated Design Procedure; 4.2 Extension to Non-linear Systems; 4.3 Constrained State Estimation. 4.3.1 Complete Design Procedure4.4 Application Example; 4.4.1 Description of the Twin-Rotor MIMO System; 4.4.2 Non-linear Reference Model of Twin-Rotor MIMO System; 4.4.3 Fault Scenario 1; 4.4.4 Fault Scenario 2; 4.4.5 Fault Scenario 3; 4.5 Concluding Remarks; References; 5 Robust H-Based Approaches; 5.1 Towards Robust Fault-Tolerant Control; 5.1.1 Preliminaries; 5.1.2 Fault Estimation Approach; 5.1.3 Integrated FTC Design; 5.1.4 Illustrative Example: Fault Estimation; 5.2 Complete Robust Design of Fault-Tolerant Control; 5.2.1 Preliminaries; 5.2.2 Fault Estimation Strategy. 5.2.3 Guaranteed Decay Rate5.2.4 Integrated FTC Design; 5.2.5 Illustrative Example: Fault Estimation; 5.2.6 Illustrative Examples: Fault-Tolerant Control; 5.3 Robust Design for Quasi-LPV Systems; 5.3.1 Actuator Fault Estimation; 5.3.2 Sensor Fault Estimation; 5.3.3 Integrated FTC Design; 5.3.4 Illustrative Example: Fault Estimation of a Multi-Tank System; 5.4 Concluding Remarks; References; 6 Fuzzy Multiple-Model Approach to Fault-Tolerant Control; 6.1 Essentials of Fuzzy Logic; 6.2 Fuzzy Multiple-Model Representation; 6.3 Development of the Takagi--Sugeno Fuzzy Model. 6.4 Virtual Fuzzy Actuators
Titelhinweis Druckausg.ISBN: 978-331-90301-3-5
ISBN ISBN 978-3-319-03014-2
Klassifikation TJFM
TEC004000
*93-02
93B51
93C83
68Q85
629.8
TJ212-225
Kurzbeschreibung This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi-Sugeno models. This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science,as well as mechanical and chemical engineering
SWB-Titel-Idn 399536329
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-3-319-03014-2
Internetseite / Link Volltext
Siehe auch Volltext
Siehe auch Cover
Siehe auch Inhaltstext
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