This paper proposes a novel idea that classifies faults into two different kinds: serious fault and small fault, and treats them with different strategies respectively. A kind of artificial neural network (ANN) is proposed for detecting serious faults, and variable structure (VS) model following control is constructed for accommodating small faults. Moreover, the uncertainty case is investigated and the VS controller is modified. Simulation results of a remotely piloted aircraft with control effector failures illustrate the performance of the developed algorithm.


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    Title :

    A fault detection and accommodation framework for dynamic systems with control effector failures


    Contributors:
    Hao Yang, (author) / Bin Jiang, (author) / Jian Liang Wang, (author)


    Publication date :

    2006-01-01


    Size :

    553742 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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