To build a sustainable space transportation system for human space exploration, the design and deployment of space infrastructure, such as in situ resource utilization plants, in-orbit propellant depots, and on-orbit servicing platforms, are critical. The design analysis and trade studies for these space-infrastructure systems require the consideration of not only the design of the infrastructure elements themselves, but also their supporting systems (e.g., storage and power) and logistics transportation while exploring various architecture options (e.g., location and technology). This paper proposes a system-level space infrastructure and logistics design optimization framework to perform architecture trade studies. A new space-infrastructure logistics optimization problem formulation is proposed that considers the internal interactions of infrastructure subsystems and their external synergistic effects with space logistics simultaneously. Because the full-size version of this proposed problem formulation can be computationally prohibitive, a new multifidelity optimization formulation is developed by varying the granularity of the commodity-type definition over the space logistics network; this multifidelity formulation can find an approximate solution to the full-size problem computationally efficiently with little sacrifice in the solution quality. The proposed problem formulation and method are applied to the design of in situ resource utilization systems in a multimission lunar exploration campaign to demonstrate their values.


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    Titel :

    Multifidelity Space Mission Planning and Infrastructure Design Framework for Space Resource Logistics


    Beteiligte:
    Chen, Hao (Autor:in) / Sarton du Jonchay, Tristan (Autor:in) / Hou, Linyi (Autor:in) / Ho, Koki (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-03-08


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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