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Biobjective planning of GEO debris removal mission with multiple servicing spacecrafts

机译:具有多种服务航天器的GEO碎片清除任务的双目标规划

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摘要

The mission planning of GEO debris removal with multiple servicing spacecrafts (SScs) is studied in this paper. Specifically, the SScs are considered to be initially on the GEO belt, and they should rendezvous with debris of different orbital slots and different inclinations, remove them to the graveyard orbit and finally return to their initial locations. Three key problems should be resolved here: task assignment, mission sequence planning and transfer trajectory optimization for each SSc. The minimum-cost, two-impulse phasing maneuver is used for each rendezvous. The objective is to find a set of optimal planning schemes with minimum fuel cost and travel duration. Considering this mission as a hybrid optimal control problem, a mathematical model is proposed. A modified multi-objective particle swarm optimization is employed to address the model. Numerous examples are carried out to demonstrate the effectiveness of the model and solution method. In this paper, single-SSc and multiple-SSc scenarios with the same amount of fuel are compared. Numerous experiments indicate that for a definite GEO debris removal mission, that which alternative (single-SSc or multiple-SSc) is better (cost less fuel and consume less travel time) is determined by many factors. Although in some cases, multiple-SSc scenarios may perform worse than single-SSc scenarios, the extra costs are considered worth the gain in mission safety and robustness.
机译:本文研究了多服务航天器(SScs)清除GEO碎片的任务计划。具体来说,SScs最初被认为是在GEO地带上,它们应会合不同轨道槽和不同倾角的碎片,将它们移至墓地轨道,最后返回其初始位置。这里应该解决三个关键问题:每个SSc的任务分配,任务序列计划和转移轨迹优化。每个集合点都使用成本最低的两脉冲调相策略。目的是找到一套具有最小燃料成本和行驶时间的最佳计划方案。将此任务视为混合最优控制问题,提出了一个数学模型。改进的多目标粒子群算法用于解决模型。进行了大量的例子来证明模型和求解方法的有效性。在本文中,比较了具有相同燃料量的单SSc和多SSc方案。许多实验表明,对于确定的GEO碎片清除任务,哪种选择(单SSc或多SSc)更好(成本更低的燃料和更少的行驶时间)取决于许多因素。尽管在某些情况下,多SSc方案的性能可能比单SSc方案差,但仍认为值得在任务安全性和鲁棒性方面获得额外成本。

著录项

  • 来源
    《Acta astronautica》 |2014年第1期|311-320|共10页
  • 作者单位

    College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan Province, China;

    College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan Province, China;

    College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, Hunan Province, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Active Debris Removal; Mission planning; Hybrid optimal control; Space mission;

    机译:主动清除杂物;任务计划;混合最优控制;太空任务;

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