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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    Title :

    Fault-tolerant ADCS for Small Satellites Using Bayesian Networks


    Contributors:


    Publication date :

    2024-03-02


    Size :

    3255516 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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