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,.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Gyro-based Maximum-Likelihood Thruster Fault Detection and Identification


    Contributors:
    E. Wilson (author) / C. Lages (author) / R. Mah (author)

    Publication date :

    2002


    Size :

    6 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Gyro-based Maximum-Likelihood Thruster Fault Detection and Identification

    Wilson, Edward / Lages, Chris / Mah, Robert et al. | NTRS | 2002




    Motion-Based Thruster Fault Detection and Isolation

    Wilson, Edward / Sutter, David / Mah, Robert | AIAA | 2005