The present disclosure provides a method for controlling orbital trajectories of a plurality of spacecraft in a multi-spacecraft swarm. In one aspect, the method includes deploying a DRL agent including a plurality of trajectory control models to the multi-spacecraft swarm, the trajectory control models corresponding to swarm configurations of the multi-spacecraft swarm; determining a state vector of said plurality of spacecraft in the multi-spacecraft swarm; transmitting a collective command to the multi-spacecraft swarm, such that said plurality of spacecraft in the multi-spacecraft swarm are to be distributed in one of the swarm configurations; determining actions of said plurality of spacecraft based on the state vector and the collective command; and maneuvering the multi-spacecraft swarm in accordance with the actions.


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    Titel :

    DEEP REINFORCEMENT LEARNING METHOD FOR CONTROLLING ORBITAL TRAJECTORIES OF SPACECRAFTS IN MULTI-SPACECRAFT SWARM


    Beteiligte:

    Erscheinungsdatum :

    2022-11-17


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B64G Raumfahrt , COSMONAUTICS / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL



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