Abstract This paper presents a distributed trajectory optimization algorithm for the reconfiguration of large-scale spacecraft formation, which uses a low thrust propulsion system to safely guide the spacecraft formation to a desired formation. Formation reconfiguration is formulated as a trajectory optimization problem with complex constraints, and the relative motion is accurately described by a nonlinear relative dynamics considering J 2 perturbation. The collision avoidance constraint is convexified into a tangent plane to ensure the accuracy of the solution. The resulting nonlinear trajectory optimization problem is solved by applying the h p -adaptive pseudospectral method to convert it into a nonlinear programming problem. In order to overcome the disadvantage of huge computation of centralized algorithm considering collision avoidance, “predicted trajectory” is introduced to transmit information between spacecraft, and the parallel computing is implemented. Finally, a numerical simulation is given to verify the computational efficiency and collision avoidance effectiveness of the proposed distributed algorithm.

    Highlights Distributed trajectory optimization algorithm for massive formation reconfiguration. The J 2 nonlinear relative dynamics is used to obtain accurate optimal trajectory. Parallel computation is achieved by information interaction of neighbors. Neighbor updating is proposed to reduce communication traffic. Significantly decrease computation and achieve collision avoidance.


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    Titel :

    Distributed safe trajectory optimization for large-scale spacecraft formation reconfiguration


    Beteiligte:
    Chen, Junyu (Autor:in) / Wu, Baolin (Autor:in) / Sun, Zhaobo (Autor:in) / Wang, Danwei (Autor:in)

    Erschienen in:

    Acta Astronautica ; 214 ; 125-136


    Erscheinungsdatum :

    2023-10-11


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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