An observer based fault detection and isolation method is presented. The method involves combining the unknown input observer theory with the Beard fault detection filter theory to generate a residual signal that has both disturbance decoupling and unidirectional properties. This robust, in the sense of disturbances, residual was used to detect and isolate sensor faults in a turbofan engine model. Finally, the method was successfully extended to detect and isolate sensor faults over a wide range of power input levels by scheduling the observer based on power code.
Using unknown input observers to detect and isolate sensor faults in a turbofan engine
19th DASC. 19th Digital Avionics Systems Conference. Proceedings (Cat. No.00CH37126) ; 2 ; 6E5/1-6E5/7 vol.2
2000-01-01
456281 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Using Unknown Input Observers to Detect And Isolate Sensor Faults In A Turbofan Engine
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