The Attitude Determination and Control System (ADCS) in satellites uses different modes to estimate and control attitude during various mission phases. This study presents an ADCS design for an Earth-observing small satellite, including different modes with controllers and estimators. Mode transitions are achieved using threshold values and a discrete state Markov Chain model, with Bellman optimization controlling the Markov chain. Additionally, a Fault Detection and Isolation (FDI) algorithm is proposed, utilizing a Bayesian Network (BN) constructed with expert knowledge. A simulation environment is created to evaluate the performance of the algorithms and modes.


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    Titel :

    Fault-tolerant ADCS for Small Satellites Using Bayesian Networks


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    02.03.2024


    Format / Umfang :

    3255516 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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