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

By: Zolghadri, ali.
Contributor(s): Henry, David | Cieslak, Jérôme | Efimov, Denis | Goupil, Philippe.
Material type: TextTextSeries: eBooks on Demand.Advances in Industrial Control: Publisher: Dordrecht : Springer, 2013Description: 1 online resource (227 p.).ISBN: 9781447153139.Subject(s): Fault location (Engineering)Genre/Form: Electronic books.Additional physical formats: Print version:: Fault Diagnosis and Fault-Tolerant Control and Guidance for Aerospace Vehicles : From Theory to ApplicationDDC classification: 629.11 | 629.8 Online resources: Click here to view this ebook.
Contents:
Series Editors' Foreword; Foreword; Preface; Contents; Chapter 1: Introduction; 1.1 Motivations; 1.2 Book Outline; Chapter 2: Review and Basic Concepts; 2.1 Introduction; 2.1.1 Fault Detection and Diagnosis, Fault-Tolerant Control, and Fault-Tolerant Guidance; 2.1.2 Interaction Between FDD, FTC, and FTG; 2.1.3 Chapter Organization; 2.2 Industrial State-of-Practice; 2.2.1 General Ideas; 2.2.2 Aeronautics; 2.2.3 Space Missions; 2.3 Review of Academic Advanced Results; 2.3.1 Introduction; 2.3.2 Analytical or Model-Based FDD; 2.3.3 Recovery Aspects: FTC and FTG
2.4 Toward Advanced Model-Based Techniques for Flight Vehicles2.4.1 Needs, Requirements, and Constraints; 2.4.2 Case Studies; 2.5 Conclusions; References; Chapter 3: Robust Detection of Oscillatory Failure Case in Aircraft Control Surface Servo-Loops; 3.1 Introduction and Motivations; 3.1.1 Primary Aircraft Control Surfaces; 3.1.2 The Link Between FDD of Control Surfaces and Aircraft Structural Design; 3.1.3 Oscillatory Failure Case; 3.2 OFC in Aircraft Control Surface Servo-Loop; 3.2.1 Description; 3.2.2 State-of-Practice: In-Service A380 Aircraft Example
3.2.2.1 Nonlinear Hydraulic Actuator Model3.2.2.2 Fault Detection; 3.2.2.3 A Flight Test Example; 3.2.3 Motivations for an Advanced Model-Based Approach; 3.3 Verification and Validation Tools; 3.3.1 Airbus Aircraft Benchmark (AAB); 3.3.2 Functional Engineering Simulator (FES); 3.3.3 Industrial Assessment Criteria; 3.3.3.1 Quantitative Assessment; 3.3.3.2 Qualitative Assessment; 3.4 Nonlinear Observer Design; 3.4.1 OFC Detectability; 3.4.2 Proposed Detection Algorithm; 3.4.2.1 Stability Analysis; 3.4.3 Decision-Making Rule; 3.4.4 Experimental Results
3.5 Fault Reconstruction via Sliding-Mode Differentiation3.5.1 Design of Hybrid Differential Observer; 3.5.1.1 Differentiator: Boundedness and Accuracy of Derivatives; 3.5.1.2 Fault Reconstruction; 3.5.2 Experimental Results; 3.5.2.1 Airbus Aircraft Benchmark Results; 3.5.2.2 FES Parametric Simulation Results; 3.5.2.3 Implementation Aspects; 3.6 Conclusion; References; Chapter 4: Robust Detection of Abnormal Aircraft Control Surface Position for Early System Reconfiguration; 4.1 Introduction; 4.2 Industrial State-of-Practice; 4.3 Need for Improvement; 4.4 A Dedicated Kalman-Based Solution
4.4.1 Runaway4.4.1.1 Fault Modeling; 4.4.1.2 Filter Design; 4.4.1.3 Optimization of the Filter Parameters; 4.4.2 Jamming; 4.5 Experimental Results; 4.5.1 Airbus Aircraft Benchmark (AAB) and Real Flight Data; 4.5.1.1 Runaway Case; 4.5.1.2 Performance and Robustness Evaluation; 4.5.1.3 Jamming Case; 4.5.2 Validation and Verification on Airbus Test Facilities; 4.5.2.1 Experimental Results Provided by the SIB; 4.5.2.2 Real Flight Tests; 4.6 Conclusion; References; Chapter 5: Failure Detection and Compensation for Aircraft Inertial System; 5.1 Introduction
5.2 Failure Detection and Isolation in Aircraft Inertial System
Summary: 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 b
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Series Editors' Foreword; Foreword; Preface; Contents; Chapter 1: Introduction; 1.1 Motivations; 1.2 Book Outline; Chapter 2: Review and Basic Concepts; 2.1 Introduction; 2.1.1 Fault Detection and Diagnosis, Fault-Tolerant Control, and Fault-Tolerant Guidance; 2.1.2 Interaction Between FDD, FTC, and FTG; 2.1.3 Chapter Organization; 2.2 Industrial State-of-Practice; 2.2.1 General Ideas; 2.2.2 Aeronautics; 2.2.3 Space Missions; 2.3 Review of Academic Advanced Results; 2.3.1 Introduction; 2.3.2 Analytical or Model-Based FDD; 2.3.3 Recovery Aspects: FTC and FTG

2.4 Toward Advanced Model-Based Techniques for Flight Vehicles2.4.1 Needs, Requirements, and Constraints; 2.4.2 Case Studies; 2.5 Conclusions; References; Chapter 3: Robust Detection of Oscillatory Failure Case in Aircraft Control Surface Servo-Loops; 3.1 Introduction and Motivations; 3.1.1 Primary Aircraft Control Surfaces; 3.1.2 The Link Between FDD of Control Surfaces and Aircraft Structural Design; 3.1.3 Oscillatory Failure Case; 3.2 OFC in Aircraft Control Surface Servo-Loop; 3.2.1 Description; 3.2.2 State-of-Practice: In-Service A380 Aircraft Example

3.2.2.1 Nonlinear Hydraulic Actuator Model3.2.2.2 Fault Detection; 3.2.2.3 A Flight Test Example; 3.2.3 Motivations for an Advanced Model-Based Approach; 3.3 Verification and Validation Tools; 3.3.1 Airbus Aircraft Benchmark (AAB); 3.3.2 Functional Engineering Simulator (FES); 3.3.3 Industrial Assessment Criteria; 3.3.3.1 Quantitative Assessment; 3.3.3.2 Qualitative Assessment; 3.4 Nonlinear Observer Design; 3.4.1 OFC Detectability; 3.4.2 Proposed Detection Algorithm; 3.4.2.1 Stability Analysis; 3.4.3 Decision-Making Rule; 3.4.4 Experimental Results

3.5 Fault Reconstruction via Sliding-Mode Differentiation3.5.1 Design of Hybrid Differential Observer; 3.5.1.1 Differentiator: Boundedness and Accuracy of Derivatives; 3.5.1.2 Fault Reconstruction; 3.5.2 Experimental Results; 3.5.2.1 Airbus Aircraft Benchmark Results; 3.5.2.2 FES Parametric Simulation Results; 3.5.2.3 Implementation Aspects; 3.6 Conclusion; References; Chapter 4: Robust Detection of Abnormal Aircraft Control Surface Position for Early System Reconfiguration; 4.1 Introduction; 4.2 Industrial State-of-Practice; 4.3 Need for Improvement; 4.4 A Dedicated Kalman-Based Solution

4.4.1 Runaway4.4.1.1 Fault Modeling; 4.4.1.2 Filter Design; 4.4.1.3 Optimization of the Filter Parameters; 4.4.2 Jamming; 4.5 Experimental Results; 4.5.1 Airbus Aircraft Benchmark (AAB) and Real Flight Data; 4.5.1.1 Runaway Case; 4.5.1.2 Performance and Robustness Evaluation; 4.5.1.3 Jamming Case; 4.5.2 Validation and Verification on Airbus Test Facilities; 4.5.2.1 Experimental Results Provided by the SIB; 4.5.2.2 Real Flight Tests; 4.6 Conclusion; References; Chapter 5: Failure Detection and Compensation for Aircraft Inertial System; 5.1 Introduction

5.2 Failure Detection and Isolation in Aircraft Inertial System

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 b

Description based upon print version of record.

Author notes provided by Syndetics

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.<br> 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.<br> Jérôme 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).<br> Denis Efimov received the MS 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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