An optimization method for low-thrust orbit transfers around a central body is developed using the Q-law and a multi-objective genetic algorithm. in the hybrid method, the Q-law generates candidate orbit transfers, and the multi-objective genetic algorithm optimizes the Q-law control parameters in order to simultaneously minimize both the consumed propellant mass and flight time of the orbit tranfer. This paper addresses the problem of finding optimal orbit transfers for low-thrust spacecraft.


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    Title :

    Low-thrust orbit transfer optimization with refined Q-law and multi-objective genetic algorithm


    Contributors:

    Conference:

    2005 AAS/AIAA Astrodynamics Specialist Conference ; 2005 ; Lake Tahoe, CA, United States


    Publication date :

    2005-08-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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