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Optimal mission planning of GEO on-orbit refueling in mixed strategy

机译:混合策略中GEO在轨加油的最优任务计划

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The mission planning of GEO on-orbit refueling (OOR) in Mixed strategy is studied in this paper. Specifically, one SSc will be launched to an orbital slot near the depot when multiple GEO satellites are reaching their end of lives. The SSc replenishes fuel from the depot and then extends the lifespan of the target satellites via refueling. In the mixed scenario, only some of the target satellites could be served by the SSc, and the remaining ones will be fueled by Pseudo SScs (the target satellite which has already been refueled by the SSc and now has sufficient fuel for its operation as well as the fuel to refuel other target satellites is called Pseudo SSc here). The mission sequences and fuel mass of the SSc and Pseudo SScs, the dry mass of the SSc are used as design variables, whereas the economic benefit of the whole mission is used as design objective. The economic cost and benefit models are stated first, and then a mathematical optimization model is proposed. A comprehensive solution method involving enumeration, particle swarm optimization and modification is developed. Numerical examples are carried out to demonstrate the effectiveness of the model and solution method. Economic efficiencies of different OOR strategies are compared and discussed. The mixed strategy would perform better than the other strategies only when the target satellites satisfy some conditions. This paper presents an available mixed strategy scheme for users and analyzes its advantages and disadvantages by comparing with some other OOR strategies, providing helpful references to decision makers. The best strategy in practical applications depends on the specific demands and user preference.
机译:本文研究了混合策略下的GEO在轨加油任务计划。具体来说,一枚SSc将在多颗GEO卫星到达使用寿命时被发射到基地附近的一个轨道槽。 SSc从仓库补给燃料,然后通过加油来延长目标卫星的寿命。在混合场景中,SSc只能为某些目标卫星提供服务,其余的将由伪SScs供能(已经由SSc加油的目标卫星现在也有足够的燃料供其运行作为为其他目标卫星加油的燃料,在此称为“伪SSc”。 SSc和伪SScs的任务顺序和燃料质量,SSc的干质量用作设计变量,而整个任务的经济利益用作设计目标。首先阐述了经济成本和收益模型,然后提出了数学优化模型。提出了一种包含枚举,粒子群优化和修改的综合求解方法。数值算例表明了模型和求解方法的有效性。比较和讨论了不同OOR策略的经济效率。仅当目标卫星满足某些条件时,混合策略才会比其他策略表现更好。本文为用户提供了一种可用的混合策略方案,并与其他OOR策略进行了比较,分析了其优缺点,为决策者提供了有益的参考。实际应用中的最佳策略取决于特定需求和用户偏好。

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