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。 Aiming at the problem that the traditional single-objective optimization method can not simultaneously optimize multiple performance indicators of flight control system, a parameter optimization method of flight control system based on Pareto genetic algorithm and multi-objective decision-making is proposed. The parameters of flight control system are optimized by NSGA-Ⅱ algorithm to get the optimal solution set. On the basis of this, the primaries of the scheme are firstly selected, and then the vague set decision method based on synthetic weights is used to evaluate and optimize the alternatives. Finally, Satisfied solution. Simulation results verify the effectiveness of the proposed method.