摘要
在第一次脉冲位置可变的条件下,用差异演化(DE)算法实现航天器双冲量交会的优化。根据C-W方程建立双冲量交会模型,用时间-能量加权法计算混合优化指标。给出了所设计DE优化算法的编码、生成初始种群、变异、交叉、辅助和选择等操作步骤。仿真结果表明,DE算法较基本遗传算法(GA)能更有效地获得最优解。
The difference evolution algorithm was applied to optimize the spacecraft＇s rendezvous using two impulses under the condition of the position that the first impulse would be changed in this paper. According to the model of two impulses by C-W equation, the mixture optimal function was calculated by weighted method of time and energy. The operations of the difference evolution algorithm such as coding, initial population, mutation, crossover, auxiliary and selection were given out. The simulation results showed that the optimal solution would be gained much easier by difference evolution algorithm than genetic algorithm,
出处
《上海航天》
北大核心
2007年第3期46-49,共4页
Aerospace Shanghai
关键词
空间交会
双冲量
差异演化算法
优化
Space rendezvous
Two impulses
Differential evolution algorithm
Optimal
