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Alternative TitlePath Optimization in the Removal Progress of Multi-debris
周秀华; 于锡峥; 王荣兰; 周炳红
Source Publication空间科学学报
Keyword空间碎片 移除 路径优化 蚁群算法
Other AbstractIn this paper,ant colony optimization algorithm is used to study the path optimization in the removal progress of multi-debris. The modified steepest descent method is used to optimize the time of removing each piece of debris reasonably which further reduces the aggregate requirements of velocity increment. The comparisons with the order of orbit height, inclination or RAAN (Right Ascension of the Ascending Node) indicate that using the order after the optimization of the ant colony algorithm can greatly save the velocity increment. Three groups of debris produced in Chinese activities are chosen for optimization. Results show that the optimized order may be different from three kinds of order mentioned above,and the optimized order can save more velocity increment in the same task time. In addition,the task time also has an impact on the best removal order of debris.
Indexed ByCSCD
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Document Type期刊论文
Recommended Citation
GB/T 7714
周秀华,于锡峥,王荣兰,等. 多碎片移除过程中的路径优化[J]. 空间科学学报,2018,38(1):79-87.
APA 周秀华,于锡峥,王荣兰,&周炳红.(2018).多碎片移除过程中的路径优化.空间科学学报,38(1),79-87.
MLA 周秀华,et al."多碎片移除过程中的路径优化".空间科学学报 38.1(2018):79-87.
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