Autonomous spacecraft maneuver planning using an evolutionary computing approach is investigated. Simulated satellites were placed into four different initial orbits. Each was allowed a string of thirty delta-v impulse maneuvers in six cartesian directions, the positive and negative x, y and z directions. The goal of the spacecraft maneuver string was to, starting from some non-polar starting orbit, place the spacecraft into a polar, low eccentricity orbit. A genetic algorithm was implemented, using a mating, fitness, mutation and crossover scheme for impulse strings. The genetic algorithm was successfully able to produce this result for all the starting orbits. Performance and future work is also discussed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Genetic Algorithm Based Approach for Satellite Autonomy


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Arai, Kohei (Herausgeber:in) / Sikka, Sidhdharth (Autor:in) / Sikka, Harshvardhan (Autor:in)

    Erschienen in:

    Intelligent Computing ; Kapitel : 68 ; 967-975


    Erscheinungsdatum :

    2021-07-07


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Small satellite structural optimisation using genetic algorithm approach

    Boudjemai, A. / Bouanane, M.H. / Merad, L. et al. | Tema Archiv | 2007


    A Feasible Approach for Implementing Greater Levels of Satellite Autonomy

    Lindsay, S. / Zetocha, P. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 1998



    Requirements and opportunities for satellite autonomy

    Campbell, W. Spencer / Gdanski, Chris | NTRS | 1992