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基于混合法的月球软着陆轨迹优化

彭坤 果琳丽 向开恒 王平 徐世杰

彭坤, 果琳丽, 向开恒, 等 . 基于混合法的月球软着陆轨迹优化[J]. 北京航空航天大学学报, 2014, 40(7): 910-915. doi: 10.13700/j.bh.1001-5965.2013.0710
引用本文: 彭坤, 果琳丽, 向开恒, 等 . 基于混合法的月球软着陆轨迹优化[J]. 北京航空航天大学学报, 2014, 40(7): 910-915. doi: 10.13700/j.bh.1001-5965.2013.0710
Peng Kun, Guo Linli, Xiang Kaiheng, et al. Optimization of lunar soft landing trajectory based on hybrid method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 910-915. doi: 10.13700/j.bh.1001-5965.2013.0710(in Chinese)
Citation: Peng Kun, Guo Linli, Xiang Kaiheng, et al. Optimization of lunar soft landing trajectory based on hybrid method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 910-915. doi: 10.13700/j.bh.1001-5965.2013.0710(in Chinese)

基于混合法的月球软着陆轨迹优化

doi: 10.13700/j.bh.1001-5965.2013.0710
基金项目: 

总装预研基金资助项目(9140A20100111HT0505)

详细信息
    作者简介:

    彭坤(1984-),男,湖北鄂州人,工程师,bhkpeng@126.com.

  • 中图分类号: V412.4

Optimization of lunar soft landing trajectory based on hybrid method

  • 摘要: 利用混合法思想和人工免疫算法研究了月球软着陆轨迹优化问题.首先建立月球软着陆系统模型并进行归一化处理;然后基于混合法思想利用庞特亚金(Pontryagin)极大值原理推导最优控制律,以伴随变量初值和终端时刻作为优化变量,将终端约束作为罚函数引入评价函数中,将月球软着陆轨迹优化问题转化为非线性规划问题(NLP,Nonlinear Programming);最后应用引导人工免疫算法(GAIA,Guiding Artificial Immune Algorithm)求解该优化问题.仿真结果表明,GAIA混合算法比直接法的寻优速度快,终端误差小,且可搜索到理论最优轨迹;同时,GAIA混合算法的伴随变量初值收敛范围比间接法大,降低了最优月球软着陆轨迹的搜索难度.

     

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出版历程
  • 收稿日期:  2013-12-05
  • 刊出日期:  2014-07-20

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