《基于滑模理论的航空动力系统故障诊断与容错控制》[72M]百度网盘|pdf下载|亲测有效
《基于滑模理论的航空动力系统故障诊断与容错控制》[72M]百度网盘|pdf下载|亲测有效

基于滑模理论的航空动力系统故障诊断与容错控制 pdf下载

出版社 北京航空航天大学出版社京东自营官方旗舰店
出版年 2022-03
页数 390页
装帧 精装
评分 9.3(豆瓣)
8.99¥ 10.99¥

内容简介

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内容简介

In the field of aerospace power systems, there are few books on fault diagnosis and fault tolerant control based on sliding mode theory. On the basis of authors many years of technical research and the results of many scientific research projects, this book comprehensively expounds the key theories and main methods of fault diagnosis and fault tolerant control of aerospace power systems based on sliding mode theory. Several design methods for sliding mode observers and sliding mode controllers are introduced, and are utilized to realize fault diagnosis and fault tolerant control for some typical aerospace power systems. This book has remarkable characteristics of combining theory with engineering.Except the Chapter 1 which is the introduction, there are three parts in this book. The first part is about fault diagnosis methods for aerospace power systems, which includes six chapters. The second part includes five chapters and different sliding mode control methods for aerospace power systems are given. The third part is comprised of the remaining seven chapters, in which several fault tolerant control methods for aerospace

power systems are discussed.

This book can be used as reference book for scientific researchers, engineering technicians, teachers and senior undergraduates, masters and doctoral students, who are in the field of aerospace, automation, power machinery and engineering, specially enengaged in the research and application of system modeling,control,fault diagnosis, fault tolerance,etc.


目录

Chapter 1 Introduction 1

1.1 Fault Diagnosis and Fault Tolerant Control Theory 1

1.1.1 Faults Classification 1

1.1.2 Fault Diagnosis 5

1.1.3 Fault Tolerant Control 7

1.2 Sliding Mode Theory 11

1.2.1 Sliding Mode Control 11

1.2.2 Sliding Mode Observer 12

1.3 Fault Diagnosis and Fault Tolerant Control Based on Sliding Mode 13

1.3.1 Fault Diagnosis Based on Sliding Mode Observer 13

1.3.2 Sliding Mode Fault Tolerant Control 14

1.4 Fault Diagnosis and Fault Tolerant Control in Aircraft Power Systems 15

1.4.1 Sliding Mode Fault Diagnosis in Aircraft Power Systems 15

1.4.2 Sliding Mode Fault Tolerant Control in Aircraft Power Systems 16

1.5 Structure of This Book 16

Chapter 2 Aircraft Engine Sensor Faults Diagnosis Based on Sliding Mode Observer by Using Residual 18

2.1 Aircraft Engine Mathematical Model 18

2.1.1 Aircraft Engine Linear Model 18

2.1.2 Establishment of Aircraft Engine State Space Variable Model Based on Least Square Fitting 21

2.2 Mathematical Model of Sensor Fault in Aircraft Engine 23

2.3 Fault Diagnosis Method Based on Residual Error 23

2.3.1 System Model with Sensor Faults 24

2.3.2 Observer Design and Stability Analysis 24

2.3.3 Parameter Solution of Sliding Mode Observer Based on Linear Matrix Inequality 25

2.3.4 Sensor Fault Detection Based on Sliding Mode Observer 27

2.4 Simulation 28

2.5 Conclusions 31

Chapter 3 Multi-sensors Fault Diagnosis of Aircraft Engine Based on Kalman Filter Group 32

3.1 Introduction 32

3.2 Aircraft Engine Model 33

3.3 Design of Sensor Fault Diagnosis System for Aircraft Engine 35

3.3.1 Single Sensor Fault Diagnosis 35

3.3.2 Multi-sensors Fault Diagnosis 36

3.4 Simulation 37

3.5 Conclusions 46

Chapter 4 Fault Identification for Turboshaft Engines Based on Fractional-order Sliding Mode Observer 47

4.1 Introduction 47

4.2 Turboshaft Engine Linearized Model 48

4.3 Fault Identification Based on Fractional-order Sliding Mode Observer 49

4.4 Simulation 51

4.5 Conclusions 55

Chapter 5 Robust Fault Identification of Turbofan Engine Sensors Based on Fractional-order Integral Sliding Mode Observer 56

5.1 Introduction 56

5.2 Equilibrium Manifold Expansion Model of Turbofan Engine 57

5.3 Fractional-order Integral Sliding Mode Observer for Fault Identification 58

5.3.1 Preliminaries of Fractional-order Calculus 58

5.3.2 Design of Fractional-order Integral Sliding Mode Observer 59

5.4 Simulation 64

5.5 Conclusions 70

Chapter 6 Aircraft Engine Gas Path Fault Diagnosis Based on HPSO-TWSVM 71

。。。。。。

Chapter 7 Fault Reconstruction of Actuator in Aircraft Engine Based on Equilibrium Manifold Expansion Model and Sliding Mode Observer 85

。。。。。。

Chapter 8 Sliding Mode Control for Aircraft Engine Based on Genetic Algorithm 90

。。。。。。

Chapter 9 Aircraft Engine Sliding Mode Control Based on Variable Parameter Model 109

。。。。。。

Chapter 11 Aircraft Engine Nonlinear Sliding Mode Control Based on Artificial Bee Colony Algorithm 138

。。。。。。

Chapter 12 Robust Control for Electric Fuel Pump with Variant Nonlinear Loads Based on a New Combined Sliding Mode Surface 154

。。。。。。

Chapter 13 Aircraft Engine Sliding Mode Fault Tolerant Control Based on Sliding Mode Observer 173

13.1 Robust Reconstruction of Sensor Faults Based on Sliding Mode Observer 173

13.1.1 Robust Reconstruction of Sensor Faults 178

13.1.2 Simulation 181

13.2 Design of Integral Tangent Adaptive Fuzzy Sliding Mode Fault Tolerant Control System for Aircraft Engine 186

13.3 Simulation 187

13.4 Conclusions 191

Chapter 14 Aircraft Engine Sliding Mode Fault Tolerant Control Based on Kalman Filter 192

14.1 Design of Aircraft Engine Sliding Mode Tracking Controller 192

14.1.1 Problem Description 192

14.1.2 Model Augmentation 193

14.1.3 Design of Sliding Surface 193

14.1.4 Design of Sliding Mode Control Law 195

14.1.5 Stability Analysis 196

14.2 Design of Aircraft Engine Sliding Mode Fault Tolerant Control 197

14.3 Simulation 197

14.4 Conclusions 202

Chapter 15 Sliding Mode Fault Tolerant Control for Aircraft Engine with Sensor Fault Based on PID Reaching Law 203

15.1 Introduction 203

15.2 Reconstruction of Sensor Fault Signal 203

15.3 System Description 205

15.4 Sliding Mode Fault Tolerant Controller Design for Sensor Fault 206

15.5 Simulation 207

15.5.1 Signal Reconstruction 207

15.5.2 PID Fault Tolerant Controller for Sensor Fault 209

15.5.3 H ∞ Fault Tolerant Controller for Sensor Fault 211

15.5.4 Sliding Mode Fault Tolerant Controller for Sensor Fault 213

15.6 Conclusions 214

16.1 Introduction 216

16.2 Design of Adaptive Fault Tolerant Controller 217

16.2.1 Engine Model 217

16.2.2 Adaptive Observer for Fault Diagnosis 217

16.2.3 Fault Tolerant Control Design 219

16.3 Simulation 220

16.4 Conclusions 225

Chapter 17 Sliding Mode Fault Tolerant Control for Aircraft Electric Fuel Pump with Actuator Fault 226

17.1 Fault Tolerant Controller Based on Walcott Zak Observer 226

17.1.1 Design of Fault Tolerant Control System 226

17.1.2 Simulation 228

17.2 Fault Tolerant Controller Based on Hybrid Nonsingular Fast Terminal Sliding Mode Observer 231

17.2.1 Design of Fault Tolerant Control System 231

17.2.2 Simulation 234

17.3 Conclusions 238

18.1 Introduction 239

18.2 Controller Design and Fault Tolerant Method 240

18.2.1 Problem Description 240

18.2.2 Guaranteed Cost Controller Design 242

18.2.3 Fault Tolerant Control Based on Kalman Filter 247

18.3 Simulation 248

18.4 Conclusions 250

19.1 Introduction 252

19.2 Mathematical Model of Aircraft Engine Control Systems 253

19.3 Main Results 256

19.3.1 Detection Observer Design 256

19.3.2 Adaptive Diagnostic Observer Design 256

19.3.3 Sliding Mode Fault Tolerant Control 257

19.3.4 Robust Stabilization Analysis 258

19.4 Simulation 261

19.5 Conclusions 267

References 268


前言/序言

Aerospace power systems provide the thrust of forward movement and the necessary speed to lift off for aircrafts. The most important part in an aerospace power system is the aircraft engine. With the development of science and technology in various countries, people have higher and higher requirements on the control performance of aerospace power systems,which undoubtedly increases the control difficulty of aerospace power systems.

Sliding mode theory includes sliding mode controller design method and sliding mode observer design method. Because of the good robustness and relatively simple strategy,sliding mode theory has attracted more and more attentions all around world from science researchers to engineering technicians.

The control systems in modern aircraft engines are carried out by Full Authority Digital Electronic Control (FADEC) systems. The FADEC needs to work with the signal measured by the relevant sensors on the aircraft engine, which contains a large number of electronic components, sensors and actuators. Most of these components work in the working environment of high temperature, high pressure and alternating stress of aircraft engine, which makes them prone to failure and several faults occur frequently. Once serious faults occur, the consequence may be unimaginable. Therefore, fault diagnosis and fault tolerant control for aerospace power system is particularly important.

In view of this, we write this book by summarizing years of scientific research results,focusing on the sliding mode theory for the fault diagnosis and fault tolerant control of aerospace power systems.

Focussing on the fault diagnosis and fault tolerant control problems in aerospace power systems, this book introduces a variety of sliding mode observer design, sliding mode controller design and sliding mode fault tolerant control system construction methods.Correspondingly, except the Chapter 1, which is the introduction, there are three parts in this book. The first part includes six chapters, which discuss fault diagnosis of aerospace power systems. The second part includes five chapters and different sliding mode control methods are presented for aerospace power systems. The third part, which is comprised of seven chapters, shows several fault tolerant control methods for aerospace power systems.

We sincerely thank our students and friends. Thank you for your help and support in writing this book.

In the process of editing and publishing this book, many staff in Beihang University Press have worked hard, and we would like to express our gratitude here also.

Limited to our ability, this book is inevitably inadequate or even wrong, and we urge readers, experts and scholars from all areas to criticize and correct us.

Xiao Lingfei and Lin Cong

June 11,2021