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E-raamat: Fault Detection and Fault-Tolerant Control for Nonlinear Systems

  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Feb-2016
  • Kirjastus: Springer Vieweg
  • Keel: eng
  • ISBN-13: 9783658130206
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Fault Detection and Fault-Tolerant Control for Nonlinear SystemsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Feb-2016
  • Kirjastus: Springer Vieweg
  • Keel: eng
  • ISBN-13: 9783658130206
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Linlin Li addresses the analysis and design issues ofobserver-based FD and FTC for nonlinear systems. The author analyses theexistence conditions for the nonlinear observer-based FD systems to gain adeeper insight into the construction of FD systems. Aided by the T-S fuzzytechnique, she recommends different design schemes, among them the L_inf/L_2type of FD systems. The derived FD and FTC approaches are verified by twobenchmark processes.
Preface v
List of Figures
xiii
List of Tables
xv
List of Notations
xvii
1 Introduction
1(10)
1.1 Motivation of the Work
1(5)
1.2 Objectives of the Work
6(1)
1.3 Outline of the Thesis
7(4)
2 Overview of FD and FTC Technology
11(18)
2.1 FD and FTC Configuration for LTI Systems
11(9)
2.1.1 Coprime Factorization Techniques
12(1)
2.1.2 The Configuration of Observer-based FD Systems
13(3)
2.1.3 The Configuration of Observer-based FTC
16(4)
2.2 FDI and FTC Schemes for Nonlinear Systems
20(7)
2.2.1 Representation of Nonlinear Systems
20(2)
2.2.2 Classification of Observer-based FDI Techniques
22(3)
2.2.3 Classification of FTC Techniques for Nonlinear Systems
25(2)
2.3 Concluding Remarks
27(2)
3 Configuration of Nonlinear Observer-based FD Systems
29(26)
3.1 Preliminaries and Problem Formulation
30(1)
3.2 On the Existence Conditions of Observer-based FD Systems
31(8)
3.2.1 L∞ Observer-based FD Systems
33(2)
3.2.2 L2 Observer-based FD Systems
35(1)
3.2.3 L∞/L2 Observer-based FD Systems
36(3)
3.3 Parametrization of Nonlinear Residual Generators
39(4)
3.4 Parametrization of Nonlinear FD Systems
43(6)
3.4.1 L∞-Class FD Systems
45(2)
3.4.2 L2-Class FD System
47(2)
3.5 Numerical Examples
49(4)
3.6 Concluding Remarks
53(2)
4 Design of L2 Nonlinear Observer-based FD Systems
55(14)
4.1 Preliminaries and Problem Formulation
55(1)
4.2 Design of L2 Fuzzy Observer-based FD Systems
56(8)
4.2.1 Fuzzy Dynamic Modelling
56(2)
4.2.2 L2 Fuzzy Observer-based Residual Generator
58(5)
4.2.3 L2 Fuzzy Observer-based FD Systems
63(1)
4.3 Design of L2 Robust Fuzzy Observer-based FD Systems
64(3)
4.4 A Numerical Example
67(1)
4.5 Concluding Remarks
68(1)
5 Design of L∞/L2 Nonlinear Observer-based FD Systems
69(20)
5.1 Preliminaries and Problem Formulation
70(1)
5.2 Design of L∞/L2 Type of Fuzzy Observer-based FD Systems
71(15)
5.2.1 Fuzzy Dynamic Modelling
71(3)
5.2.2 L∞/L2 Type of Fuzzy Observer-based Residual Generator
74(11)
5.2.3 L∞/L2 Type of Fuzzy Observer-based FD Systems
85(1)
5.3 A Numerical Example
86(1)
5.4 Concluding Remarks
87(2)
6 Design of Weighted Fuzzy Observer-based FD Systems
89(26)
6.1 Preliminaries and Problem Formulation
90(4)
6.1.1 Configuration of Discrete-Time L2 Observer-based FD Systems
90(1)
6.1.2 The Existence Condition of Discrete-Time L2 Observer-based FD Systems
91(2)
6.1.3 FD Performance
93(1)
6.1.4 Problem Formulation
94(1)
6.2 L2 Piecewise-Fuzzy Observer-based FD Systems
94(13)
6.2.1 Piecewise-Fuzzy Dynamic Modelling
95(2)
6.2.2 Weighted Piecewise-Fuzzy Residual Generator
97(3)
6.2.3 An Integrated Design Scheme of FD Systems
100(7)
6.3 L2 Robust Piecewise-Fuzzy Observer-based FD Systems
107(4)
6.4 A Numerical Example
111(3)
6.5 Concluding Remarks
114(1)
7 FTC Configurations for Nonlinear Systems
115(20)
7.1 Preliminaries and Problem Formulation
116(1)
7.2 Residual Generator-based FTC Configurations
116(10)
7.2.1 Controller Parametrization
117(2)
7.2.2 Residual Generator-based Realizations of Controller Parameterization
119(5)
7.2.3 FTC Configurations
124(2)
7.3 A Design Scheme of FTC Configuration
126(5)
7.3.1 Observer-based Fault Diagnosis System Design
127(2)
7.3.2 Controller Design
129(2)
7.4 A Numerical Example
131(3)
7.5 Concluding Remarks
134(1)
8 Application to Benchmark Processes
135(26)
8.1 Case Studies on CSTH Process
135(13)
8.1.1 Process Description
135(4)
8.1.2 L2 Fuzzy Observer-based FD for Continuous Nonlinear Systems
139(5)
8.1.3 Weighted L2 Fuzzy Observer-based FD for Discrete-Time Nonlinear Systems
144(4)
8.2 Case Studies on Three-Tank System
148(12)
8.2.1 Process Description
149(1)
8.2.2 Real-Time Implementation of FTC Architecture with Embedded Runge-Kutta Iterations
150(6)
8.2.3 L∞/L2 Fuzzy Observer-based FD
156(4)
8.3 Concluding Remarks
160(1)
9 Conclusions and Future Work
161(2)
Bibliography 163
Dr. Linlin Li completed her dissertation under the supervision of Prof. Steven X. Ding at the Faculty of Engineering, University of Duisburg-Essen, Germany.
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