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Gyro-based Maximum-Likelihood Thruster Fault Detection and IdentificationWhen 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,
Document ID
20020059580
Acquisition Source
Headquarters
Document Type
Preprint (Draft being sent to journal)
Authors
Wilson, Edward
(Intellization United States)
Lages, Chris
(Intellization United States)
Mah, Robert
(NASA Ames Research Center Moffett Field, CA United States)
Clancy, Daniel
Date Acquired
September 7, 2013
Publication Date
January 1, 2002
Subject Category
Spacecraft Propulsion And Power
Meeting Information
Meeting: 2002 American Control Conference
Location: Anchorage, AL
Country: United States
Start Date: May 8, 2002
End Date: May 10, 2002
Funding Number(s)
OTHER: PWC-349-00
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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