This paper presents a methodology for improving the fault detection scheme of reaction wheels as actuators onboard satellites. An enhanced adaptive unscented Kalman filter (AUKF) is used, based on a generic adaptive Kalman filter combined with a particle swarm optimization for fault detection. Results show superior performance compared with a generic AUKF.


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    Title :

    Enhanced adaptive unscented Kalman filter for reaction wheels


    Contributors:


    Publication date :

    2015-04-01


    Size :

    5977341 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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