This paper investigates a convex optimization based method that can rapidly generate the fuel optimal asteroid powered descent trajectory. The ultimate goal is to autonomously design the optimal powered descent trajectory on-board the spacecraft immediately prior to the descent burn. Compared to a planetary powered landing problem, the major difficulty is the complex gravity field near the surface of an asteroid that cannot be approximated by a constant gravity field. This paper uses relaxation techniques and a successive solution process that seeks the solution to the original nonlinear, nonconvex problem through the solutions to a sequence of convex optimal control problems.


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    Title :

    Rapid Generation of Optimal Asteroid Powered Descent Trajectories Via Convex Optimization


    Contributors:
    Pinson, Robin (author) / Lu, Ping (author)

    Conference:

    AAS/AIAA Astrodynamics Specialist Conference ; 2015 ; Vail, CO, United States


    Publication date :

    2015-08-10


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English


    Keywords :