基于均匀设计的小生境遗传算法及其在飞控系统中的应用

将小生境遗传算法(NGA)应用于飞行控制系统(FCS)的优化设计中,需要解决两个问题:如何选择目标函数及如何确定初始种群和算法运行参数。针对这两个问题,分别提出了基于参考模型的飞行控制系统优化策略及基于均匀设计的小生境遗传算法初始种群和运行参数的选择方法,根据规范要求将飞行控制系统的性能指标要求转化到参考模型中,利用均匀设计方法优选出合适的初始种群和算法运行参数。仿真结果表明,所提出的优化策略能够有效地解决飞行控制系统的优化设计问题,小生境遗传算法初始种群分布均匀,收敛速度快。

NGA Based on Uniform Design and Its Application in Optimization of FCS

How to select the object function parameter of the niche genetic algorithm(NGA) and its initial swarm is a very difficult problem when the NGA is applied in the optimization of flight control systems(FCS).To optimizing the FCS more efficiently,an optimizing strategy based on reference model is proposed,and by this strategy,the re-quirement on the quality of FCS is transformed into the referenced model which is derived from the military standard on the FCS.To make the NGA search more rapidly,a method based on the uniform design is given,and the more ap-propriate initial swarm and parameters of NGA are selected by this method.The simulation shows that the optimal strategy can solve the optimal design of the FCS effectively,the initial swarm gotten by the selecting method given in the paper distributes uniformly,and the NGA with the initial swarm has more rapid convergence velocity.