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Optimal scheduling of multispacecraft refueling based on cooperative maneuver

机译：基于协同机动的多飞船加油优化调度

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摘要

The scheduling of multispacecraft refueling based on cooperative maneuver in a circular orbit is studied in this paper. In the proposed scheme, both of the single service vehicle (SSV) and the target satellite (TS) perform the orbital transfer to complete the rendezvous at the service places. When a TS is refueled by the SSV, it returns to its original working slot to continue its normal function. In this way, the SSV refuels the TS one by one. A MINLP model for the mission is first built, then a two-level hybrid optimization approach is proposed for determining the strategy, and the optimal solution is successfully obtained by using an algorithm which is a combination of Multi-island Genetic Algorithm and Sequential Quadratic Programming. Results show the cooperative strategy can save around 27.31% in fuel, compared with the non-cooperative strategy in which only the SSV would maneuver in the example considered. Three conclusions can be drawn based on the numerical simulations for the evenly distributed constellations. Firstly, in the cooperative strategy one of the service ! positions is the initial location of the SSV, other service positions are also target slots, i.e. not all targets need to maneuver, and there may i be more than one TS serviced in a given service position. Secondly, the efficiency gains for the cooperative strategy are higher for larger transferred fuel mass. Thirdly, the cooperative strategy is less efficient for targets with larger spacecraft mass.
机译：研究了基于协同机动的圆形轨道多飞船加油调度问题。在提出的方案中，单个服务车辆（SSV）和目标卫星（TS）都执行轨道转移，以在服务地点完成交会。当TS由SSV加油时，它将返回其原始工作槽以继续其正常功能。这样，SSV便为TS加油。首先建立任务的MINLP模型，然后提出两级混合优化方法来确定策略，并使用多岛遗传算法和顺序二次规划相结合的算法成功获得最优解。 。结果显示，与非合作策略相比，在所考虑的示例中，合作策略可以节省大约27.31％的燃油，而非合作策略仅可以使用SSV进行机动。基于数值模拟，可以得出三个结论。首先，在合作策略中服务之一！位置是SSV的初始位置，其他服务位置也是目标时隙，即，并非所有目标都需要进行机动，并且在给定服务位置中可能有多个TS服务。其次，对于较大的转移燃料质量，合作策略的效率增益更高。第三，合作策略对于航天器质量较大的目标效率较低。

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  • 来源
    《Advances in space research》 |2015年第12期|2808-2819|共12页
  • 作者

    Bingxiao Du; Yong Zhao; Atri Dutta; Jing Yu; Xiaoqian Chen;

  • 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;

    Aerospace Engineering, Wichita State University, Wichita 67260, KS, USA;

    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;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Cooperative maneuver; Refueling strategy; Multispacecraft; Multi-island Genetic Algorithm; Optimization;

    机译：合作演习;加油策略;多宇宙飞船;多岛遗传算法;优化;

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