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On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff
Journal of Spacecraft and Rockets ( IF 1.6 ) Pub Date : 2021-07-30 , DOI: 10.2514/1.a35094
Tristan Sarton du Jonchay 1 , Hao Chen 1 , Masafumi Isaji 1 , Yuri Shimane 1 , Koki Ho 1
Affiliation  

This paper proposes an on-orbit servicing logistics optimization framework capable of performing the short-term operational scheduling and long-term strategic planning of sustainable servicing infrastructures that involve high-thrust, low-thrust, and/or multimodal servicers supported by orbital depots. The proposed framework generalizes the state-of-the-art on-orbit servicing logistics optimization method by incorporating user-defined trajectory models and optimizing the logistics operations with the propulsion technology and trajectory tradeoff in consideration. Mixed-integer linear programming is leveraged to find the optimal operations of the servicers over a given period, whereas the rolling horizon approach is used to consider a long time horizon accounting for the uncertainties in service demand. Several analyses are carried out to demonstrate the value of the proposed framework in automatically trading off the high- and low-thrust propulsion systems for both short-term operational scheduling and long-term strategic planning of on-orbit servicing infrastructures.



中文翻译:

具有高推力和低推力推进权衡的在轨服务优化框架

本文提出了一种在轨服务物流优化框架,该框架能够执行可持续服务基础设施的短期运营调度和长期战略规划,这些基础设施涉及由轨道仓库支持的高推力、低推力和/或多式联运服务商。所提出的框架通过结合用户定义的轨迹模型并在考虑推进技术和轨迹权衡的情况下优化物流操作,概括了最先进的在轨服务物流优化方法。混合整数线性规划用于在给定时间内找到服务商的最佳运营,而滚动范围方法用于考虑长期范围内的服务需求不确定性。

更新日期:2021-08-01
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