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载人航天器深空飞行返回再入轨迹优化

闵学龙;潘腾;郭海林;   

  1. 北京空间飞行器总体设计部;
  • 发布日期:2009-08-25

Reentry Trajectory Optimization for Manned Deep Space Exploration

Min Xuelong Pan Teng Guo Hailin(Beijing Institute of Spacecraft and Systems Engineering,Beijing 100094)   

  • Online:2009-08-25

摘要: 分析了载人航天器深空飞行返回再入的飞行特点,指出其轨迹优化研究的必要性;给出了基于遗传算法的轨迹优化方法;利用自主编制的仿真软件程序,采用与Apollo和Soyuz飞船类似的返回舱的参数进行了仿真。仿真结果表明,优化后加速度过载峰值被严格控制在满足载人飞行要求的范围内,同时其他过程载荷峰值也在满足约束的前提下明显降低,总吸热量和再入航程也大幅缩减,优化后再入轨迹满足工程实施的初步要求。

关键词: 深空飞行, 再入轨迹优化, 遗传算法, 仿真, 载人航天器

Abstract: A method for reentry trajectory optimization using genetic algorithm was established.The presumptive performance of the manned deep space exploration capsules like Apollo and Soyuz command modules were employed.By a Matlab optimization process,the simulation results indicate that the maximum g-load is less than 4gn.The pressure,heat density,temperature and the total heat rates decrease obviously.The flight distance is shorter than that of the un-optimal reentry trajectory.