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,.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Gyro-based Maximum-Likelihood Thruster Fault Detection and Identification


    Beteiligte:
    E. Wilson (Autor:in) / C. Lages (Autor:in) / R. Mah (Autor:in)

    Erscheinungsdatum :

    2002


    Format / Umfang :

    6 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




    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