引用本文: | 刘晓路,许英杰,贺仁杰,等.面向卫星的在轨服务任务规划方法[J].国防科技大学学报,2020,42(5):143-150.[点击复制] |
LIU Xiaolu,XU Yingjie,HE Renjie,et al.Satellite-oriented on-orbit service mission planning method[J].Journal of National University of Defense Technology,2020,42(5):143-150[点击复制] |
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面向卫星的在轨服务任务规划方法 |
刘晓路1,许英杰1,贺仁杰1,路帅2 |
(1. 国防科技大学 系统工程学院, 湖南 长沙 410073;2. 中国科学院空天信息创新研究院, 北京 100094)
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摘要: |
针对空间在轨服务日趋成熟以及在轨服务现实需求增长的背景,以在轨服务航天器为研究对象,研究面向卫星的在轨服务任务规划问题,探讨如何合理安排与调配在轨服务资源。将问题分解为在轨服务资源分配和在轨服务路径规划两层,并建立双层优化数学模型。设计在轨服务任务规划算法求解问题,包括基于多种群并行进化的混沌遗传算法和基于全局坐标转换的NSGA-Ⅱ+GSDE算法,并通过仿真结果对比分析,验证算法的可行性和有效性。 |
关键词: 在轨服务 任务规划 资源分配 路径规划 |
DOI:10.11887/j.cn.202005020 |
投稿日期:2020-01-28 |
基金项目:国家自然科学基金资助项目(72001212) |
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Satellite-oriented on-orbit service mission planning method |
LIU Xiaolu1, XU Yingjie1, HE Renjie1, LU Shuai2 |
(1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
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Abstract: |
In the context of the increasing maturity of on-orbit service and the growing application requirements, taking the on-orbit servicing spacecraft as research object, the satellite-oriented on-orbit servicing mission planning problem was studied, and the way how to rationally arrange and deploy on-orbit servicing resources was discussed. The problem was decomposed into two sub-problems, namely on-orbit service resource allocation and on-orbit service path planning, and the corresponding bi-level mathematical models were established. An on-orbit service mission planning method was designed, including chaotic genetic algorithm based on multi-group parallel evolution and NSGA-Ⅱ+GSDE algorithm based on global coordinate transformation. The feasibility and effectiveness of the algorithm were verified through comparative analysis of simulation results. |
Keywords: on-orbit service mission scheduling resource allocation path scheduling |
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