In this book the methodology and concept of designing multivariable control systems for aeroengines are presented which include: general development tendencies in aeroengines and aeroengine control systems; modeling of aeroengines; design of various control laws for aeroengines; design of fault tolelant control systems for aeroengines and design of integrated flight/propulsion control systems. This book is useful to practicing engineers and designers of aeroengine control systems and aeroengines as a reference book and as an updated to their engineering education. This book should prove useful also for PhD and MSc candidates of disciplines of aeroengine control systems and aeroengines for their graduate courses. 本书阐述现代航空发动机多变量控制系统设计方法及概念：航空发动机及其控制系统的发展趋势；航空发动机建模；各种航空发动机现代控制规律的设计；发动机容错控制系统设计以及飞行/推进综合控制系统设计。 本书可作为航空发动机控制和航空发动机总体专业工程技术人员的参考书，也可作为上述专业的研究生教材。
作者简介：
章节目录：
Chapter 1StateoftheArt and Problems of the Development of Aeroengines and Their Control Systems
11 System Approach to the Development of Complex Technical Systems1
1.2 Tendencies of the Aeroengine Development12
1.3 Tendencies of the Development of Production and Technolo gical Systems27
1.4 Tendencies of the Aeroengine Control System Development
33
1.5 System Conception of Designing Aeroengine Control Systems
51
References57
Chapter 3Adaptive Control Systems of Aeroengines
3.1 Introduction 175
3.2 The Main Types of Adaptive Systems 176
3.3 The Structure of Multivariable MRAC Systems 184
3.3.1 Design of Generalized Tuned Plant 185
3.3.2 SelfTuning Algorithms 188
3.4 Linearized Model of Multivariable MRAC Systems193
3.5 Design of Multivariable MRAC Systems198
3.5.1 Design of the Coupled Correcting Device 200
3.5.2 Design of NonCoupled Correcting Device 202
3.6 NonLinear Correction of SelfTuning Algorithms 211
3.7 Structural Features of Multivariable MRAC Systems for
Aeroengines219
3.8 Design of Linearized Model of Multivariable MRAC Systems in the State Space 226
References 234
Chapter 4Extremal Control System of TurboPropFan Engines
4.1 Introduction236
4.2 The Structure of PropFan Extremal Control Subsystem238
4.2.1 Mathematical Model of TurboPropFan Engines 238
4.2.2 The Structure of PropFan Extremal Control Subsystems
245
4.3 Investigation of SelfSustained Oscillation Modes and Design of Extremal Control Subsystem251
4.3.1 Investigation of SelfSustained Oscillation Modes251
4.3.2 Design of Extremal Control266
4.4 MultiMode Control of the TurboPropFan
Engines267
4.4.1 The Structure of MultiMode Control System of the TurboPropFan Engine268
4.4.2 Design of Subsystem of Controlled Coordinate Stabilization
275
References283
Chapter 5Intelligent Control Systems of Aeroengines
5.1 Intelligent Control: Idea and Advantages285
5.2 Neural Network Models of Aeroengines297
5.2.1 Neural Network Model of TurboPropFan Engines
299
5.2.2 Neural Network Model on the Basis of Engines Dynamic Characteristics306
5.2.3 Inverse Neural Network Model of Aeroengines308
5.3 Structural Design of MultiMode Controller of Aeroengines
309
5.4 Intelligent Control Systems of Aeroengines on the Basis of Fuzzy Logic318
5.5 Optimization of Aeroengine Control System Characteristics with the Use of Genetic Algorithms329
5.6 Aeroengine Control System Optimization Based on Chaotic Genetic Algorithm334
5.6.1 Chaotic Optimization Algorithm (COA) and Genetic Algorithm (GA) 335
5.6.2 Chaotic Genetic Algorithm (CGA)340
5.6.3 Application of CGA to Aeroengine Control System Design
343
5.7 Conclusions354
References356
Chapter 6Multivariable Robust Control Systems of Aeroengines
6.1 Introduction362
6.2 LQG /LTR Control367
6.2.1 LQG Method368
6.2.2 LQG/LTR Method371
623 LQG/LTR Control for Aeroengines376
624 LQG/LTR Control of a Turbofan Engine382
6.3 H∞ Control 395
6.3.1 Formulation of H∞ Control Problem395
6.3.2 Regular H∞ Control397
6.3.3 LMIBased H∞ Control401
6.3.4 H∞ Control of a Turbofan Engine408
6.4 H∞/LTR Method419
6.4.1 Loop Recovery via H∞ Sensitivity Recovery420
6.4.2 H∞/LTR with Weightings on Control Signals426
6.4.3 H∞/LTR Control of a Turbofan Engine428
6.4.4 Conclusions442
6.5 Summary444
References446
Chapter 7FaultTolerant Digital Control Systems of Aeroengines
7.1 Introduction449
7.2 Analytical Redundancy Based on Kalman Filter452
7.2.1 Analytical Redundancy Based on State Tracking Filter
452
7.2.2 Analytical Redundancy Based on a Component Tracking Filter467
7.3 Analytical Redundancy Technology Based On Neural Networks
479
7.3.1 Scheme of Analytical Redundancy Based on NN480
7.3.2 Analytical Redundancy Using Main and Decentralized NN
483
7.3.3 Analytical Redundancy Based on Autoassociative Neural
Network494
7.4 Intelligent FaultTolerant Control Systems of Aeroengines on the Basis of Fuzzy Logic517
7.5 Full Authority Digital Control Systems with Builtin Diagnosis
System524
7.6 Design of Surge Control Systems of Aeroengines536
761 Surge Control Systems Outline 536
7.6.2 Method of Design and Development of Surge Control System540
References553
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