Modeling and simulation of ventilation and cooling of aircraft piston engine based on genetic algorithm

Abstract

With the gradual orderly opening of low-altitude areas and the increasing number of private aircraft, the general aviation industry has ushered in new opportunities for development. Ventilation and cooling optimization of the piston aeroengine has become a very important field in general aviation enterprises. The traditional aircraft engine design method and control system do not consider the coupling between aircraft and engine, which can not meet the needs of development. Therefore, an optimization method for the ventilation and cooling of aircraft piston engines based on a genetic algorithm is proposed. Firstly, the engine cooling model is constructed, the ventilation and cooling principles of aircraft piston engines are analyzed, and then the genetic algorithm is used to optimize the ventilation and cooling program of the aircraft piston engine. The results show that the method can effectively optimize the ventilation and cooling scheme of the aero piston engine. During the optimization process, the average convergence value is always greater than 95.00%. Under different working conditions, the maximum failure rate of the optimized ventilation and cooling scheme is 0.03. The maximum failure rate is lower than that of similar methods.