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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    Titel :

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


    Beteiligte:
    Sarton du Jonchay, Tristan (Autor:in) / Chen, Hao (Autor:in) / Isaji, Masafumi (Autor:in) / Shimane, Yuri (Autor:in) / Ho, Koki (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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