AbstractA hybrid optimization method is developed for fuel-optimal reconfigurations of a group of satellites flying in formation. The genetic algorithm performs a global search to find two-impulse trajectories, and primer vector analysis finds multiple-impulsive local optimal trajectories with the two-impulse trajectories as initial guesses. Hybrid optimization finds globally optimal trajectories for formation reconfigurations, including formation resizing, reassignment and reorientation maneuvers. Multiple-impulse trajectories reduce the fuel consumption from the two-impulse trajectories by up to 4.4% for those maneuvers. In real missions, satellites can follow two-impulse trajectories to gain the advantage of a smaller number of impulses, with the cost of slightly more propellant. The qualitative characteristics of the optimal trajectories are analyzed from the number of optimal trajectories found by hybrid optimization.


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    Titel :

    Hybrid optimization for multiple-impulse reconfiguration trajectories of satellite formation flying


    Beteiligte:
    Kim, Dong-Yoon (Autor:in) / Woo, Byoungsam (Autor:in) / Park, Sang-Young (Autor:in) / Choi, Kyu-Hong (Autor:in)

    Erschienen in:

    Advances in Space Research ; 44 , 11 ; 1257-1269


    Erscheinungsdatum :

    2009-07-30


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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