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    On-Orbit Servicing Optimization Framework with High- and Low-Thrust Propulsion Tradeoff

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    OOS_MultiModal_Manuscript_Submitted_rev_final.pdf (1.260Mb)
    Date
    2021-07
    Author
    Sarton Du Jonchay, Tristan
    Chen, Hao
    Isaji, Masafumi
    Shimane, Yuri
    Ho, Koki
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    Abstract
    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.
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    http://hdl.handle.net/1853/66801
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