This paper develops a computationally efficient and scalable mission planning optimization method for regular space transportation missions, defined as a set of repeating and periodic interplanetary transportation missions over a long time horizon after one or a few setup missions. As more long-term manned missions to Mars are being conceptualized, the need for a sustainable interplanetary transportation system has become increasingly prominent. However, planning regular transportation missions with existing space mission planning optimization formulations has a limitation in computational scalability in the time dimension. The proposed partially periodic time-expanded network can address this limitation of the past studies; it is shown to be computationally scalable and capable of generating solutions that are practically preferred. Properties of the proposed partially periodic time-expanded network are analyzed, and a case study reveals that the total initial mass in the low Earth orbit of regular missions approaches to the theoretical lower bound as the number of transportation missions increases.


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    Titel :

    Space Transportation System and Mission Planning for Regular Interplanetary Missions


    Beteiligte:
    Chen, Hao (Autor:in) / Lee, Hang Woon (Autor:in) / Ho, Koki (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.01.2019




    Medientyp :

    Aufsatz (Konferenz) , Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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