基于粒子群算法的再入式飞行器再入走廊计算方法研究

摘要

提出一种利用粒子群算法计算再入式飞行器走廊的方法.从再入式飞行器再入过程的运动方程出发,将连续无限维的再入飞行器走廊上边界计算问题,转化成计算走廊上有限个点的多个最优控制问题,最后利用粒子群寻优解决每个最优控制问题,从而得到可行的走廊上边界曲线,这种方法得到的走廊上界曲线比传统的准平衡滑翔条件估计的上界要高,更能体现RLV的飞行能力.%A kind of method to calculate the RLV re-entry corridor by Particle Swarm Optimization (PSO) algorithm is proposed in this paper.From the equation of motion of the RLV re-entry process,the continuous infinite-dimensional reentry corridor calculation problem is transformed to a discrete optimal control problem and then each optimal control problem can be solved with Particle Swarm Optimization (PSO) algorithm to obtain upper corridor point.The upper bound of corridor obtained by PSO method is higher than the one obtained by the traditional quasi-equilibrium glide conditions thus it can better reflect the Maneuvers ability of RLV.