基于遗传算法的被动式滚转控制系统设计

Design of a re-entry body with passive roll control system using genetic algorithm

根据随机规划理论 ,建立了小尺寸、细长旋转体再入飞行器被动式滚转控制系统的机会约束规划模型 ,并运用基于随机模拟的遗传算法来求解 ,给出了能够确保飞行器在不确定再入环境下具有鲁棒可行性的弹道倾角γE 和质心系数 xcg 的最优设计值。通过工程实例计算表明 ,在选用适当的运行参数情况下 。

This paper presents a chance constrained programming model for a kind of small dimension, slender, revolving reentry body with passive roll control system according to the stochastic programming theory. The optimization problem is solved using genetic algorithm. The optimums of design variables γ E and cg may assure the robustness feasibility of the reentry body in the uncertainty environment. The design optimization method provided here is verified useful and efficient by an engineering design example under the condition of choosing proper values of running parameters, such as sample size N and population size M .