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    Natural Motion-based Trajectories for Automatic Spacecraft Collision Avoidance During Proximity Operations

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    Type
    Conference Paper
    Authors
    Mote, Mark L.
    Hays, Christopher W.
    Collins, Alexander
    Feron, Eric cc
    Hobbs, Kerianne L.
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021-06-08
    Online Publication Date
    2021-06-08
    Print Publication Date
    2021-03-06
    Permanent link to this record
    http://hdl.handle.net/10754/671141
    
    Metadata
    Show full item record
    Abstract
    Autonomous rendezvous, proximity operations, and docking are key enablers of missions such as satellite servicing, active debris removal, and in-space assembly. However, errors in the control and estimation systems, or failures to account for off-nominal conditions may result in catastrophic collisions between spacecraft. Safety may potentially be preserved in these cases by switching to a safety-driven backup system. This paper develops such a system, with guidance, control, and estimation schemes designed to safely place an active chaser spacecraft in a parking orbit around a passive target spacecraft. Natural motion trajectories are considered to identify a set of passively safe parking orbits under Clohessy-Wiltshire-Hill dynamics, and a mixed integer programming formulation is developed to find the optimal transfer trajectories to this set. The practicality of the estimation and control schemes is demonstrated though simulated case studies. The guidance algorithm is integrated into a run time assurance framework, which allows real-time enforcement of the safety constraints in a least-intrusive fashion.
    Citation
    Mote, M. L., Hays, C. W., Collins, A., Feron, E., & Hobbs, K. L. (2021). Natural Motion-based Trajectories for Automatic Spacecraft Collision Avoidance During Proximity Operations. 2021 IEEE Aerospace Conference (50100). doi:10.1109/aero50100.2021.9438434
    Publisher
    IEEE
    DOI
    10.1109/AERO50100.2021.9438434
    Additional Links
    https://ieeexplore.ieee.org/document/9438434/
    ae974a485f413a2113503eed53cd6c53
    10.1109/AERO50100.2021.9438434
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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