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    Towards a Taxonomy for Automatic and Autonomous Cooperative Spacecraft Maneuvering in a Space Traffic Management Framework

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    Type
    Conference Paper
    Authors
    Hobbs, Kerianne
    Collins, Alexander R.
    Feron, Eric cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    King Abdullah University Of Science and Technology, Thuwal, Saudi Arabia
    Date
    2020-11-02
    Online Publication Date
    2020-11-02
    Print Publication Date
    2020-11-16
    Permanent link to this record
    http://hdl.handle.net/10754/666043
    
    Metadata
    Show full item record
    Abstract
    As the number of objects in Earth orbit continues to grow, automatic maneuvering of spacecraft may play an important role in a comprehensive space traffic management framework. Automatic collision avoidance, rendezvous and proximity operations, and station keeping are all possible spacecraft missions where two or more spacecraft may interact in an automatic maneuver scenario. Interaction may be limited to awareness of state information such as the other object’s position and velocity relative to an ownship position and velocity, or it may be as extensive as two spacecraft that communicate and coordinate maneuvers to optimize resource use while still meeting mission objectives. Before standards and policies can be determined, a common vocabulary describing spacecraft interactions is needed. This paper proposes a spacecraft maneuver taxonomy that provides a common set of definitions for categories of spacecraft interactions, maneuver coordination, intent, and maneuver efficiency, as well as related concepts such as centralized, distributed, and hierarchical control. It is envisioned that this taxonomy will provide a basis for specifications, planning, coordination, and on-orbit synchronization of spacecraft automatic maneuvering.
    Citation
    Hobbs, K., Collins, A. R., & Feron, E. (2020). Towards a Taxonomy for Automatic and Autonomous Cooperative Spacecraft Maneuvering in a Space Traffic Management Framework. ASCEND 2020. doi:10.2514/6.2020-4240
    Sponsors
    The authors would like to thank Alwyn Goodloe, Paul Minor, Ivan Perez, Natasha Neogi, Eloy Garcia, David Casbeer, Derek Kingston, Laura Humphrey, Adam Gerlach, and Ryan Weismann for enlightening conversations that inspired the development of this taxonomy.
    Publisher
    American Institute of Aeronautics and Astronautics (AIAA)
    Conference/Event name
    Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
    ISBN
    9781624106088
    DOI
    10.2514/6.2020-4240
    Additional Links
    https://arc.aiaa.org/doi/10.2514/6.2020-4240
    ae974a485f413a2113503eed53cd6c53
    10.2514/6.2020-4240
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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