HighlightsSpacecraft rendezvous optimized via interval analysis (IA) is proposed.Global optimality of open-time rendezvous optimization using IA is verified.Discontinuous and nonconvex optimization problem can be processed by IA.IA, GA and gradient-based method can globally process multi-objective optimization.

    AbstractThis paper addresses an open-time Lambert problem under first-order gravitational perturbations with unfixed parking time and transfer time. The perturbations are compensated by introducing its analytical solutions derived from Lagrange's planetary equations into Lambert problem. A drift vector of aim position correction is defined to reduce the aim position bias caused by the perturbations. The first purpose of optimization is to find sufficiently small intervals involving the global optimal parking time, transfer time, drift vector and velocity increment. The second is to determine the global solution or the solution close to it in these intervals. Interval analysis and a double-deck gradient-based method with GA estimating the initial range of drift vector are utilized to obtain the sufficiently small intervals including the global minimum velocity increment and the global minimum solution or one sufficiently close to it in these intervals.


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    Titel :

    Global optimization of fuel consumption in J2 rendezvous using interval analysis


    Beteiligte:
    Ma, Hongliang (Autor:in) / Xu, Shijie (Autor:in) / Liang, Yuying (Autor:in)

    Erschienen in:

    Advances in Space Research ; 59 , 6 ; 1577-1598


    Erscheinungsdatum :

    2016-12-21


    Format / Umfang :

    22 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch