基于遗传算法的涡扇发动机稳态调节规律优化设计

Optimization Design of Steady-state Regulation Law of the Turbofan Engine Based on the Genetic Algorithm

为了获得最大推力,对典型的混合排气涡扇发动机的调节规律进行分析,得到发动机控制参数的最优匹配,介绍了1种基于排挤机制的小生境遗传算法,并采用多峰值多变量函数对小生境遗传算法进行测试,结果表明:小生境遗传算法能够得到目标函数的局部最优解和全局最优解。将发动机稳态模型作为目标函数代入小生境遗传算法中,并制定相应的约束条件和惩罚机制,结果表明:采用优化后的调节规律使发动机推力表现更优。

In order to obtain maximum thrust,the regulation law of a typical mixed exhaust turbofan engine was analyzed,and the optimal matching of the control parameters of the engine was obtained.A niche genetic algorithm based on crowding mechanism was introduced,and the multi-peak multivariable function was used to test the niche genetic algorithm.The results show that the local optimal solution and the global optimal solution of the objective function can be obtained by niche genetic algorithm.The steady-state model of the engine was used as the objective function in the niche genetic algorithm,and the corresponding constraint and punishment mechanism were established.The results show that the engine thrust performance is better by the optimized regulation law.