AbstractIn this paper, a new optimization approach combining primer vector theory and evolutionary algorithms for fuel-optimal non-linear impulsive rendezvous is proposed. The optimization approach is designed to seek the optimal number of impulses as well as the optimal impulse vectors. In this optimization approach, adding a midcourse impulse is determined by an interactive method, i.e. observing the primer-magnitude time history. An improved version of simulated annealing is employed to optimize the rendezvous trajectory with the fixed-number of impulses. This interactive approach is evaluated by three test cases: coplanar circle-to-circle rendezvous, same-circle rendezvous and non-coplanar rendezvous. The results show that the interactive approach is effective and efficient in fuel-optimal non-linear rendezvous design. It can guarantee solutions, which satisfy the Lawden's necessary optimality conditions.


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    Titel :

    Interactive optimization approach for optimal impulsive rendezvous using primer vector and evolutionary algorithms


    Beteiligte:
    Luo, Ya-Zhong (Autor:in) / Zhang, Jin (Autor:in) / Li, Hai-yang (Autor:in) / Tang, Guo-Jin (Autor:in)

    Erschienen in:

    Acta Astronautica ; 67 , 3-4 ; 396-405


    Erscheinungsdatum :

    2010-02-04


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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