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 Technological Systems27 1.4 Tendencies of the Aeroengine Control System Development 33 1.5 System Conception of Designing Aeroengine Control Systems 51 References57
Chapter 2Modeling of Aeroengines 21 Introduction60 22 Component Level Model61 221 Inlet64 222 Fan64 223 Compressor66 2.2.4 Engine Bleeds69 2.2.5 Turbines69 2.2.6 Main Combustor73 2.2.7 Augmentor73 2.2.8 Bypass Duct75 2.2.9 Exhaust Nozzle75 2.2.10 Engine Dynamics78 2.2.11 Remarks83 23 State Variable Model92 231 Partial Derivative Method\[16\]93 2.3.2 Fitting Method[18~20]97 2.3.3 Remarks100 234 Simulation Results113 24 Adaptive Model116 2.4.1 Adaptive Model Estimating Unmeasured Outputs116 2.4.2 Component Tracking Filter\[27\]127 2.5 Intelligent Model140 2.5.1 Modeling by Neural Network141 2.5.2 Modeling with Genetic Algorithm148 2.6 Estimator of Aeroengine Performance Parameters160 2.6.1 Introduction160 2.6.2 Model Based Control161 2.6.3 Estimator Based Control163 References170
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
Chapter 8Integrated Flight/Propulsion Control System 8.1 Introduction557 8.2 Philosophy of Integrated Flight/Propulsion Control562 8.2.1 Comparison of Nonintegrated and Integrated Control Structure562 8.2.2 Decentralized Control and Centralized Control Methodology 566 8.2.3 Trim of Engine Operating Point568 8.2.4 OffLine and OnLine Optimization573 8.2.5 Scheme of Performance Seeking Control575 8.3 Typical Integrated Flight/Propulsion Control Modes581 8.3.1 Maximum Thrust Mode581 8.3.2 Minimum Fuel consumption Mode583 8.3.3 Minimum Turbine Temperature Mode585 8.3.4 Supersonic Rapid Deceleration Mode587 8.3.5 Inlet Integration Mode588 8.4 Thrust Vectoring Control592 8.4.1 The Principle of Thrust Vectoring592 8.4.2 Benefits of Thrust Vectoring Control594 8.4.3 Applications of Thrust Vectoring Control595 8.5 Optimization Design598 8.5.1 Linear Programming Formulation in PSC[23~25]598 8.5.2 Propulsion System Matrix[23]601 8.5.3 Linear Programming of Aeroengine Optimization[23] 602 8.6 Algorithm and Simulation of Integrated Flight/Propulsion Control Systems605 8.6.1 Architecture of PSC606 8.6.2 PSC Control Logic607 8.6.3 Simulations of PSC610 References619
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