When building smaller, less expensive spacecraft, there is a need for intelligent fault tolerance vs. increased hardware redundancy. If fault tolerance can be achieved using existing navigation sensors, cost and vehicle complexity can be reduced. A maximum likelihood-based approach to thruster fault detection and identification (FDI) for spacecraft is developed here and applied in simulation to the X-38 space vehicle. The system uses only gyro signals to detect and identify hard, abrupt, single and multiple jet on- and off-failures. Faults are detected within one second and identified within one to five accords,


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    Titel :

    Gyro-based Maximum-Likelihood Thruster Fault Detection and Identification


    Beteiligte:
    Wilson, Edward (Autor:in) / Lages, Chris (Autor:in) / Mah, Robert (Autor:in) / Clancy, Daniel (Autor:in)

    Kongress:

    2002 American Control Conference ; 2002 ; Anchorage, AL, United States


    Erscheinungsdatum :

    01.01.2002


    Medientyp :

    Preprint


    Format :

    Keine Angabe


    Sprache :

    Englisch