基于组合优化算法的火星探测轨迹优化
Trajectory Optimization for Mars Exploration Based on Combined Optimization Algorithm
摘要: 针对地球–火星之间的星际往返轨迹优化设计问题,本文采用了一种静态参数+动态优化的组合优化算法,进行全局一体化优化设计,通过大量的飞行数值仿真,得到了具体的最优方案。仿真结果表明,这种组合优化算法对求解星际往返轨迹优化问题具有良好的适用性和实际工程应用价值。
Abstract: This paper globally optimized the 4-D flight trajectories between the Mars and the Earth by using a combined optimization algorithm. The optimization algorithm is comprised of static parameters and dynamic control laws. The optimal program of the 4-D flight trajectory between the Mars and the Earth is obtained by a great deal of flight numerical simulation. The numerical simulation re-sults show that this combined optimization algorithm is very useful regarding on global and inte-grative optimization of both flight trajectory and all design parameters.
文章引用:安彬, 南英, 闻新, 姬聪云, 陈昊翔. 基于组合优化算法的火星探测轨迹优化[J]. 国际航空航天科学, 2014, 2(4): 81-89. http://dx.doi.org/10.12677/JAST.2014.24009

参考文献

[1] 李俊峰, 祝开建 (2010) 2005-2009年国际深空探测轨迹优化竞赛综述. 力学与实践, 32,130-137.
[2] 南英, 陈士橹, 严辉 (1996) 航天器轨道优化的通用数值算法. 飞行力学, 4, 20-25.
[3] Petropoulos, A.E. and Longuski, J.M. (2004) Shape-based algorithm for automated design of low-thrust, gravity-assist trajectories. Journal of Spacecraft and Rockets, 41, 787-796.
[4] 黄国强, 南英, 陆宇平 (2010) 小推力深空探测轨道全局优化设计. 航空学报, 7, 1366-1372.
[5] 华鹏, 南英, 李鑫 (2012) 二体与多体运动模型下的深空探测轨道计算误差分析. 中国宇航学会深空探测技术专业委员会第九届学术年会, 杭州, 2012年10月17日.
[6] 安彬, 南英, 姬聪云 (2013) 采用组合优化算法的深空探测轨迹优化. 系统仿真技术, 4, 344-349.