这本《现代航空发动机多变量控制系统》由孙建国等编著，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。

这本《现代航空发动机多变量控制系统》由孙建国等编著：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.

这本《现代航空发动机多变量控制系统》适合航空领域相关研究者阅读。

Chapter 1 State of the Art and Problems of the Development of Aeroengines and Their Control Systems

 1.1 System Approach to the Development of Complex Technical Systems

 1.2 Tendencies of the Aeroengine Development

 1.3 Tendencies of the Development of Production and Technolo gical Systems

 1.4 Tendencies of the Aeroengine Control System Development

 1.5 System Conception of Designing Aeroengine Control Systems

 References

Chapter 2 Modeling of Aeroengines

 2.1 Introduction

 2.2 Component Level Model

2.2.1 Inlet

2.2.2 Fan

2.2.3 Compressor

2.2.4 Engine Bleeds

2.2.5 Turbines

2.2.6 Main Combustor

2.2.7 Augmentor

2.2.8 Bypass Duct

2.2.9 Exhaust Nozzle

2.2.10 Engine Dynamics

2.2.11 Remarks

 2.3 State Variable Mode

2.3.1 Partial Derivative Method

2.3.2 Fitting Metbod

2.3.3 Remarks

2.3.4 Simulation Results

 2.4 Adaptive Model

2.4.1 Adaptive Model Estimating Unmeasured Outputs

2.4.2 Component Tracking Filter

 2.5 Intelligent Model

2.5.1 Modeling by Neural Network

2.5.2 Modeling with Genetic Algorithm

 2.6 Estimator of Aeroengine Performance Parameters

2.6.1 Introduction

2.6.2 Model Based Control

2.6.3 Estimator Based Control

 References

Chapter 3 Adaptive Control Systems of Aeroengines

 3.1 Introduction

 3.2 The Main Types of Adaptive Systems

 3.3 The Structure of Multivariable MRAC Systems

3.3.1 Design of Generalized Tuned Plant

3.3.2 Self Tuning Algorithms

 3.4 Linearized Model of Multivariable MRAC Systems

 3.5 Design of Multivariable MRAC Systems

3.5.1 Design of the Coupled Correcting Device

3.5.2 Design of Non Coupled Correcting Device

 3.6 Non Linear Correction of Self Tuning Algorithms

 3.7 Structural Features of Multivariable MRAC Systems for Aeroengines

 3.8 Design of Linearized Model of Multivariable MRAC Systems in the State Space

 References

Chapter 4 Extremal Control System of Turbo-Prop-Fan Engines

 4.1 Introduction

 4.2 The Structure of Prop-Fan Extremal Control Subsystem

4.2.1 Mathematical Model of Turbo-Prop-Fan Engines

4.2.2 The Structure of Prop-Fan Extremal Control Subsystems

 4.3 Investigation of Self-Sustained Oscillation Modes and Design of Extremal Control Subsystem

4.3.1 Investigation of Self-Sustained Oscillation Modes

4.3.2 Design of Extremal Control

 4.4 Multi-Mode Control of the Turbo-Prop-Fan Engines

4.4.1 The Structure of Multi-Mode Control System of the Turbo-Prop-Fan Engine

4.4.2 Design of Subsystem of Controlled Coordinate Stabilization

 References

Chapter 5 Intelligent Control Systems of Aeroengines

 5.1 Intelligent Control: Idea and Advantages

 5.2 Neural Network Models of Aeroengines

5.2.1 Neural Network Model of Turbo-Prop-Fan Engines

5.2.2 Neural Network Model on the Basis of Engine's Dynamic Characteristics

5.2.3 Inverse Neural Network Model of Aeroengines

 5.3 Structural Design of Multi-Mode Controller of Aeroengines

 5.4 Intelligent Control Systems of Aeroengines on the Basis of Fuzzy Logic

 5.5 Optimization of Aeroengine Control System Characteristics with the Use of Genetic Algorithms

 5.6 Aeroengine Control System Optimization Based on Chaotic Genetic Algorithm

5.6.1 Chaotic Optimization Algorithm (COA) and Genetic Algo- rithm (GA)

5.6.2 Chaotic Genetic Algorithm (CGA)

5.6.3 Application of CGA to Aeroengine Control System Design

 5.7 Conclusions

 References

Chapter 6 Multivariuble Robust Control Systems of Aeroengines

 6.1 Introduction

 6.2 LQG/LTR Control

6.2.1 LQG Method

6.2.2 LQG/LTR Method

6.2.3 LQG/LTR Control for Aeroengines

6.2.4 LQG/LTR Control of a Turbofan Engine

 6.3 H∞ Control

6.3.1 Formulation of H∞ Control Problem

6.3.2 Regular H∞ Control

6.3.3 LMI-Based H∞ Control

6.3.4 H∞ Control of a Turbofan Engine

 6.4 H∞/LTR Method

6.4.1 Loop Recovery via H∞ Sensitivity Recovery

6.4.2 H∞/LTR with Weightings on Control Signals

6.4.3 H∞/LTR Control of a Turbofan Engine

6.4.4 Conclusions

 6.5 Summary

 References

Chapter 7 Fault-Tolerant Digital Control Systems of Aeroengines

 7.1 Introduction

 7.2 Analytical Redundancy Based on Kalman Filter

7.2.1 Analytical Redundancy Based on State Tracking Filter

7.2.2 Analytical Redundancy Based on a Component Tracking Fil-

 7.3 Analytical Redundancy Technology Based On Neural Networks

7.3.1 Scheme of Analytical Redundancy Based on NN

7.3.2 Analytical Redundancy Using Main and Decentralized NN

7.3.3 Analytical Redundancy Based on Autoassociative Neural Network

 7.4 Intelligent Fault-Tolerant Control Systems of Aeroengines on the Basis of Fuzzy Logic

 7.5 Full Authority Digital Control Systems with Built-in Diagnosis System

 7.6 Design of Surge Control Systems of Aeroengines

7.6.1 Surge Control Systems Outline

7.6.2 Method of Design and Development of Surge Control System

 References

Chapter 8 Integrated Flight/Propulsion Control System

 8.1 Introduction

 8.2 Philosophy of Integrated Flight/Propulsion Control

8.2.1 Comparison of Non-integrated and Integrated Control Structure

8.2.2 Decentralized Control and Centralized Control Methodology

8.2.3 Trim of Engine Operating Point

8.2.4 Off-Line and On-Line Optimization

8.2.5 Scheme of Performance Seeking Control

 8.3 Typical Integrated Flight/Propulsion Control Modes

8.3.1 Maximum Thrust Mode

8.3.2 Minimum Fuel consumption Mode

8.3.3 Minimum Turbine Temperature Mode

8.3.4 Supersonic Rapid Deceleration Mode

8.3.5 Inlet Integration Mode

 8.4 Thrust Vectoring Control

8.4.1 The Principle of Thrust Vectoring

8.4.2 Benefits of Thrust Vectoring Control

8.4.3 Applications of Thrust Vectoring Control

 8.5 Optimization Design

8.5.1 Linear Programming Formulation in PSC[23-25]

8.5.2 Propulsion System Matrix[23]

8.5.3 Linear Programming of Aeroengine Optimization[23]

 8.6 Algorithm and Simulation of Integrated Flight/Propulsion Control Systems

8.6.1 Architecture of PSC

8.6.2 PSC Control Logic

8.6.3 Simulations of PSC

 References