Integrated orbit design and network-based optimization of interplanetary mission architectures

Kosuke Ikeya, Hiraku Sakamoto, Hao Chen, Koki Ho

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper proposes a new methodology to optimize the operational scenarios for human and robotic explorations, especially for complex missions with rendezvous. Then, the effectiveness of the new approach is evaluated by optimizing practical mission cases. As human and robotic space missions become more complex, there is a larger need for an effective method to design and optimize these missions. While most traditional mission design methods require human designers in the loop, recent space logistics research has introduced rigorous mathematical optimization to multi-mission space campaign design to (partially) automate the mission design practice. However, these existing methods mainly focus on high-level low-fidelity design and often employ simplifying assumptions regarding the time-related costs and constraints for rendezvous, docking, and gravity assists. In response to this background, this paper proposes a new optimization formulation in space logistics mission design with a rendezvous-implemented time-expanded network that can handle these factors as part of the optimization to increase the fidelity of space logistics optimization significantly. A case study of human spaceflight in cislunar space is used to demonstrate the effectiveness of the proposed method.

    Original languageEnglish
    Title of host publicationAIAA Scitech 2020 Forum
    Pages1-15
    Number of pages15
    DOIs
    StatePublished - 2020
    EventAIAA Scitech Forum, 2020 - Orlando, United States
    Duration: 6 Jan 202010 Jan 2020

    Publication series

    NameAIAA Scitech 2020 Forum

    Conference

    ConferenceAIAA Scitech Forum, 2020
    Country/TerritoryUnited States
    CityOrlando
    Period6/01/2010/01/20

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