基于Pareto集与多目标决策的飞控参数优化

针对传统的单目标优化方法不能对飞控系统多个性能指标同时进行优化的问题,提出了一种基于Pareto遗传算法和多目标决策的飞控系统参数优化方法。通过NSGA-Ⅱ算法对飞控系统参数进行优化获得最优解集,在此基础上首先进行方案的初选,然后利用综合权重的Vague集决策方法对备选方案进行模糊评价和优选,找到最终满意解。仿真结果验证了所设计方法的有效性。

Optimization of FCS parameter based on Pareto optimal set and multi-objective decision

This paper proposed a method,which is based on NSGA-Ⅱ aglorithm and multi-objective decision,to solve the problem of parameter optimization of flight control system(FCS).The Pareto optimal set is obtained by optimizing the multi-objective optimization model of FCS with NSGA-Ⅱ algorithm.Based on the Pareto optimal set the scheme primary selection is done firstly,and then the selected scheme is evaluated through Vague set decision-making method with integrated weight,the final optimal scheme is obtained.Simulation results show that the proposed method is effective.