Abstract Satellite onboard activity planning refers to the process of arranging a set of onboard activities on a timeline. It is typically formulated as a complex optimization problem with various constraints that is similar to the classic flexible job-shop scheduling problem. This paper first formulates a practical mathematical model considering both the constraints of onboard resources and the sequential logic among the activities. Then an efficient heuristic with a set of knowledge-guided precedence rules for satellite onboard activity planning is proposed, which can achieve real-time planning of the onboard mission. Simulation results indicate that the proposed heuristic can very efficiently produce a satisfied planning scheme, which significantly outperforms the evolutionary algorithm-based optimization method in practical engineering applications.

    Highlights An optimization model is established to minimize the completion time of onboard activities. A flexible modeling approach is used in the description of onboard activity domain knowledge. A precedence-rule-based heuristic is developed for satellite onboard activity planning.


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    Titel :

    A precedence-rule-based heuristic for satellite onboard activity planning


    Beteiligte:
    Liang, Jun (Autor:in) / Zhu, Yue-he (Autor:in) / Luo, Ya-zhong (Autor:in) / Zhang, Jia-cheng (Autor:in) / Zhu, Hai (Autor:in)

    Erschienen in:

    Acta Astronautica ; 178 ; 757-772


    Erscheinungsdatum :

    2020-10-09


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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