The work is devoted to the design of artificial neural networks which can be used for the orbital control of a spacecraft equipped with a low-thrust engine. The problem of energy-optimal transfer between two points is considered. Two neural networks are constructed: the predictive one and the controlling one. Their architecture, learning algorithms, and the performance in the presence of unaccounted disturbances are given.


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    Titel :

    Artificial neural networks for control and propagation of low-thrust trajectories


    Beteiligte:
    Sorokin, A. V. (Autor:in) / Shirobokov, M. G. (Autor:in) / Trofimov, S. P. (Autor:in) / Mikrin, Evgeny A. (Herausgeber:in) / Rogozin, Dmitry O. (Herausgeber:in) / Aleksandrov, Anatoly A. (Herausgeber:in) / Sadovnichy, Victor A. (Herausgeber:in) / Fedorov, Igor B. (Herausgeber:in) / Mayorova, Vera I. (Herausgeber:in)

    Kongress:

    XLIII ACADEMIC SPACE CONFERENCE: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists – Pioneers of space exploration ; 2019 ; Moscow, Russia


    Erschienen in:

    Erscheinungsdatum :

    15.11.2019


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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