Genetic Algorithm Applied Research Cruise Turbofan Engine Control Optimization

Take a model of Turbofan engine as the subject investigated, the genetic algorithm is been inducted as the optimize algorithm and simple genetic algorithm is been improved in this paper. Minimal Specific Fuel Consumption control pattern is been researched in the Engine Performance seeking control under cruise state.In the Performance seeking control researching, firstly the actual time mathematical modeling of the Turbofan engine is been analyzed. On the basic of former engine, the angle variable partial program of the fan and compressor guide vane of engine mathematical model is been renewed. The control law of the Turbofan engine under the cruise state is been analyzed and researched in the way of the engine model simulation. In the control algorithm research, the fundamental of genetic algorithm is been mainly studied. Aim at practical application of genetic algorithm in engine control, the simple genetic algorithm is been improved and realized by the C++ language program compositionThe simulation result showed that the Genetic Algorithm applied in the Engine Performance seeking control under cruise state is feasible, the optimize result is correct, the optimize effect is evidence. After adding the two optimize variable of the fan and compressor guide vane angle, control Algorithm can dig the engine capacity potential better. This paper prompt the optimize idea of Minimal Specific Fuel Consumption under the fixed oil quantity supply. Actually, it reduce the optimize variable, improve the computation speed and efficiency of the control algorithm. It also avoid the difficulty of measuring engine thrust when minimal Specific Fuel Consumption control mode optimizing and have certain consult value of the engineer application...