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Gyro-based Maximum-Likelihood Thruster Fault Detection and Identification (2002)

Clancy, Daniel ; Mah, Robert ; Lages, Chris ; [et al.]

In: CASI

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Publication Date: 2019-08-15

Description: 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,

Keywords: Spacecraft Propulsion and Power

Type: 2002 American Control Conference; May 08, 2002 - May 10, 2002; Anchorage, AL; United States

Format: application/pdf

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