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E-grāmata: Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace Vehicles: From Theory to Application

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  • Formāts: PDF+DRM
  • Sērija : Advances in Industrial Control
  • Izdošanas datums: 07-Oct-2013
  • Izdevniecība: Springer London Ltd
  • Valoda: eng
  • ISBN-13: 9781447153139
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Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace Vehicles: From Theory to ApplicationPalielināt
  • Formāts: PDF+DRM
  • Sērija : Advances in Industrial Control
  • Izdošanas datums: 07-Oct-2013
  • Izdevniecība: Springer London Ltd
  • Valoda: eng
  • ISBN-13: 9781447153139
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This book explores the potential of recent developments in control for resolving such issues as flight performance, self protection and extended-life structures. Deals with such considerations as tuning, complexity of design, worst-case performance and more.



Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace demonstrates the attractive potential of recent developments in control for resolving such issues as flight performance, self protection and extended-life structures. Importantly, the text deals with a number of practically significant considerations: tuning, complexity of design, real-time capability, evaluation of worst-case performance, robustness in harsh environments, and extensibility when development or adaptation is required. Coverage of such issues helps to draw the advanced concepts arising from academic research back towards the technological concerns of industry.
Initial coverage of basic definitions and ideas and a literature review gives way to a treatment of electrical flight control system failures: oscillatory failure, runaway, and jamming. Advanced fault detection and diagnosis for linear and linear-parameter-varying systems are described. Lastly recovery strategies appropriate to remaining actuator/sensor/communications resources are developed.
The authors exploit experience gained in research collaboration with academic and major industrial partners to validate advanced fault diagnosis and fault-tolerant control techniques with realistic benchmarks or real-world aeronautical and space systems. Consequently, the results presented in Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace, will be of interest in both academic and aerospatial-industrial milieux.
1 Introduction
1(4)
1.1 Motivations
1(2)
1.2 Book Outline
3(2)
2 Review and Basic Concepts
5(24)
2.1 Introduction
6(5)
2.1.1 Fault Detection and Diagnosis, Fault-Tolerant Control, and Fault-Tolerant Guidance
6(1)
2.1.2 Interaction Between FDD, FTC, and FTG
7(4)
2.1.3
Chapter Organization
11(1)
2.2 Industrial State-of-Practice
11(3)
2.2.1 General Ideas
11(1)
2.2.2 Aeronautics
12(1)
2.2.3 Space Missions
13(1)
2.3 Review of Academic Advanced Results
14(5)
2.3.1 Introduction
14(1)
2.3.2 Analytical or Model-Based FDD
15(2)
2.3.3 Recovery Aspects: FTC and FTG
17(2)
2.4 Toward Advanced Model-Based Techniques for Flight Vehicles
19(3)
2.4.1 Needs, Requirements, and Constraints
19(1)
2.4.2 Case Studies
20(2)
2.5 Conclusions
22(7)
References
22(7)
3 Robust Detection of Oscillatory Failure Case in Aircraft Control Surface Servo-Loops
29(44)
3.1 Introduction and Motivations
29(4)
3.1.1 Primary Aircraft Control Surfaces
29(2)
3.1.2 The Link Between FDD of Control Surfaces and Aircraft Structural Design
31(1)
3.1.3 Oscillatory Failure Case
32(1)
3.2 OFC in Aircraft Control Surface Servo-Loop
33(5)
3.2.1 Description
33(1)
3.2.2 State-of-Practice: In-Service A380 Aircraft Example
34(3)
3.2.3 Motivations for an Advanced Model-Based Approach
37(1)
3.3 Verification and Validation Tools
38(5)
3.3.1 Airbus Aircraft Benchmark (AAB)
40(1)
3.3.2 Functional Engineering Simulator (FES)
40(1)
3.3.3 Industrial Assessment Criteria
41(2)
3.4 Nonlinear Observer Design
43(14)
3.4.1 OFC Detectability
43(2)
3.4.2 Proposed Detection Algorithm
45(7)
3.4.3 Decision-Making Rule
52(2)
3.4.4 Experimental Results
54(3)
3.5 Fault Reconstruction via Sliding-Mode Differentiation
57(13)
3.5.1 Design of Hybrid Differential Observer
58(6)
3.5.2 Experimental Results
64(6)
3.6 Conclusion
70(3)
References
70(3)
4 Robust Detection of Abnormal Aircraft Control Surface Position for Early System Reconfiguration
73(18)
4.1 Introduction
73(2)
4.2 Industrial State-of-Practice
75(2)
4.3 Need for Improvement
77(1)
4.4 A Dedicated Kalman-Based Solution
78(4)
4.4.1 Runaway
78(3)
4.4.2 Jamming
81(1)
4.5 Experimental Results
82(6)
4.5.1 Airbus Aircraft Benchmark (AAB) and Real Flight Data
82(4)
4.5.2 Validation and Verification on Airbus Test Facilities
86(2)
4.6 Conclusion
88(3)
References
89(2)
5 Failure Detection and Compensation for Aircraft Inertial System
91(28)
5.1 Introduction
91(3)
5.2 Failure Detection and Isolation in Aircraft Inertial System
94(1)
5.2.1 Problem Statement
94(1)
5.2.2 Classical Triplex Monitoring
94(1)
5.3 Enhanced Detection and Compensation Scheme
95(11)
5.3.1 OFC Detection and Isolation Module
97(5)
5.3.2 Consolidation Module
102(4)
5.4 Simulation and Experimental Results
106(8)
5.4.1 Simulation Setup
106(2)
5.4.2 Single OFC Scenario
108(2)
5.4.3 Combined OFC Scenario
110(2)
5.4.4 Other Faults
112(2)
5.4.5 Discussion
114(1)
5.5 Conclusion
114(5)
References
116(3)
6 An Active Fault-Tolerant Flight Control Strategy
119(32)
6.1 Introduction
119(1)
6.1.1 Problem Statement
119(1)
6.2 Fault-Tolerant Control Architecture
120(7)
6.2.1 FTC with a Model-Based FDD Scheme
121(1)
6.2.2 FTC with Dedicated Onboard FDD
122(1)
6.2.3 Analysis of FTC Architecture
123(2)
6.2.4 Formulation of FTC Design
125(2)
6.3 Bumpless Scheme
127(3)
6.3.1 Solution with a Model-Based FDD Scheme
127(2)
6.3.2 Solution with Dedicated Onboard FDD
129(1)
6.4 Application to a B747-100/200
130(15)
6.4.1 Requirements and Validation Tools
130(2)
6.4.2 B747-100/200 Benchmark
132(2)
6.4.3 FTC Problem Formulation to FM-AG(16) Project
134(2)
6.4.4 FTC Design
136(4)
6.4.5 Simulation and Experimental Results
140(5)
6.5 Conclusion
145(6)
Appendix A State and Input Definition of the Boeing 747-100/200
146(1)
Appendix B A, Be, Bh, and C Stale-Space Matrices
146(1)
References
147(4)
7 Model-Based FDIR for Space Applications
151(58)
7.1 Introduction
152(1)
7.2 FDIR in Space Applications: State-of-Practice
152(3)
7.3 Model-Based FDIR Solutions
155(1)
7.4 Notations
156(1)
7.5 A Satellite Example
157(13)
7.5.1 Description
157(7)
7.5.2 Design of the FDI System
164(4)
7.5.3 Computational Results
168(2)
7.5.4 Isolation Strategy
170(1)
7.5.5 Nonlinear Simulation Results
170(1)
7.6 A Deep Space Mission: Mars Sample Return
170(14)
7.6.1 Modeling the Orbiter Dynamics During the Rendezvous Phase
174(3)
7.6.2 Design of the FDI System
177(5)
7.6.3 Computational Issues
182(1)
7.6.4 Isolation Strategy
183(1)
7.6.5 Nonlinear Simulation Results
184(1)
7.7 An Atmospheric Reentry Mission
184(21)
7.7.1 The Auto-Landing Phase
187(10)
7.7.2 Nonlinear Simulations
197(1)
7.7.3 Application to the TAEM Phase
198(4)
7.7.4 Nonlinear Simulations
202(3)
7.8 Conclusion
205(4)
References
205(4)
8 Conclusions and Outlook
209(4)
8.1 Fault Detection and Diagnosis
209(2)
8.2 Fault-Tolerant Control and Guidance
211(1)
8.3 Concluding Remarks
212(1)
Reference
212(1)
Index 213
Ali Zolghadri is a full Professor of Control Engineering with the University of Bordeaux, France. He heads the ARIA research group at the IMS Laboratory. His expertise areas and research interest include application and theory of control engineering, including fault diagnosis and fault-tolerant control and guidance. health management and operational autonomy for complex safety-critical systems. He has published around 150 publications including journal articles, book chapters and communications. He is a co-holder of four patents in the aerospace field. David Henry is a full Professor of Control Engineering with the University of Bordeaux / IMS laboratory, France. He received the Ph.D. degree in Systems and Control in 1999 from the University of Bordeaux 1, France. His current research interests theory in model-based fault diagnosis and system integrity control, Linear Matrix Inequality optimization techniques, fault tolerant control design and their applications in aeronautic and space systems.  He is involved in many industrial collaborations with Airbus (Toulouse) / Astrium Space Transportation (Les Mureaux) / Astrium Satellites (Toulouse) / Thales Alenia Space (Cannes) and ESA (European Space Agency) and in the two european projects GARTEUR FM-AG(16) and FP7-ADDSAFE. He has published around 25 journal papers, 3 book chapters and around 60 international communications. He has given 5 invited plenary talks in international conferences. Jérōme Cieslak is an Associate Professor of Control Engineering with the University of Bordeaux / IMS laboratory. He received the Ph.D. degree in Systems and Automatic Control in 2007 from the University of Bordeaux, France. His research interest includes Fault Tolerant Control (FTC), supervisory, fault detection methods and their interactions. He was involved in GARTEUR FM-AG(16) and FP7-ADDSAFE european projects and a French collaborative project on spacecraft autonomy (SIRASAS). Denis Efimov received theMS degree in Control Systems from the Saint-Petersburg State Electrical Engineering University, Russia, in 1998, the Ph.D. degree in Automatic Control from the same university in 2001, and the Dr.Sc. degree in Automatic control in 2006 from Institute for Problems of Mechanical Engineering RAS, Saint-Petersburg, Russia. From 2000 to 2009 he was research assistant of the Institute for Problems of Mechanical Engineering RAS, Control of Complex Systems Laboratory. From 2006 to 2007 he was with the LSS, Supelec, France. From 2007 to 2009 he was working in the Montefiore Institute, University of Liege, Belgium. From 2009 to 2011 he worked in the Automatic control group, IMS lab., University of Bordeaux I, France. Since 2011 he joined the Non-A team at INRIA Lille center. His main research interests include nonlinear oscillations analysis, observation and control, switched and hybrid systems stability.
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