The rapid expansion of space exploration and human spaceflight has presented new challenges and opportunities for reliable and autonomous close-proximity maneuvers. Bioinspired AI algorithms are a class of efficient algorithms that incorporate biological mechanisms to remove the shortcomings of traditional AI techniques. The Bald Eagle Search (BES) algorithm is one such novel method that has been developed based on the hunting tactics of bald eagle birds. This research work proposes to demonstrate the BES algorithm in the autonomous rendezvous and docking problem by generating a fuel-efficient path to reach the target point ensuring obstacle avoidance.


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    Titel :

    Bioinspired Bald Eagle Search Based Guidance for Fuel-Optimal Spacecraft Docking


    Beteiligte:
    Das, Arya (Autor:in) / Giri, Dipak Kumar (Autor:in)


    Erscheinungsdatum :

    22.07.2024


    Format / Umfang :

    1310230 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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