Autonomous health monitoring is a key enabling technology for future space missions. One approach to developing this capability is through model-based fault management. This method seeks to leverage system models in order to enable rapid algorithm development, reduce the burden of verification and validation, and ensure that a large set of possible faults can be detected and identified. Here, a high fidelity model of a spacecraft attitude control system is used to as step towards validating the performance of Marple, a model-based fault management system. The ultimate goal is to validate this autonomous fault management capability for use on robotic and manned missions and this work is a step to that end.


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    Titel :

    Model-based fault management for spacecraft autonomy


    Beteiligte:
    Kolcio, Ksenia (Autor:in) / Breger, Louis (Autor:in) / Zetocha, Paul (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2014-03-01


    Format / Umfang :

    3418248 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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