Research On Aero-engine Fuzzy Control System With Multi-Objective Genetic Algorithm Optimizing

The fuzzy control does not depend on the object's mathematical model. The application of fuzzy control for the engine control produces the good performance. The fuzzy control theory has penetrated into many fields. And to study the application of the fuzzy control to the aero-engine control system is very important for the improvement of the performance of the propulsion system. Multi-objective genetic algorithm(MOGA) is a method that can optimize multiple objectives effectively and parellelly.In this dissertation, the basic theory, and its applications in aero-engine control system design of fuzzy control, fuzzy PID control, and MOGA is studied.The essence and all the basic operations of fuzzy control is analysed at the beginning. At Chapter 3 of this dissertation, fuzzy PID control is studied. Chapter 4 gives a full-scale study and analyse about GA and MOGA, presents the main idea of GA and MOGA, analyses a typical MOGA. The fuzzy controller parameters of an aero-engine model is optimized by NSGA-II in all possible operation points of two working condition. The result shows good dynamic and stable performance. Simulation results show that the control systems behave very well, and the final result is satisfactory.The results indicates that the fuzzy control and MOGA has wide prospect in the aspect of control of the aero-engine.