Title :
Sensor/actuator failure detection in the Vista F-16 by multiple model adaptive estimation
Author :
Menke, Timothy E. ; Maybeck, Peter S.
Author_Institution :
US Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
Multiple model adaptive estimation (MMAE) is applied to the Variable-In-flight Stability Test Aircraft (VISTA) F-16 flight control system at a low dynamic pressure flight condition (0.4 M at 20000 ft). Single actuator and sensor failures are addressed first, followed by dual actuator and sensor failures. The system is evaluated for complete or "hard" failures, partial or, "soft" failures, and combinations of hard and soft actuator and sensor failures. Residual monitoring is discussed for single and dual failure scenarios. Performance is enhanced by the application of a modified Bayesian form of MMAE, scalar residual monitoring to reduce ambiguities, automatic dithering where advantageous, and purposeful commands.<>
Keywords :
Bayes methods; actuators; adaptive control; adaptive estimation; aircraft; aircraft control; avionics; failure analysis; reliability; sensors; state estimation; F-16 flight control system; Vista; actuator failure detection; automatic dithering; complete failures; dual failures; hard failures; low dynamic pressure flight condition; modified Bayesian form; multiple model adaptive estimation; partial failures; pitch rate sensor failure; purposeful commands; residual monitoring; rudder failure; scalar residual monitoring; sensor failure detection; single failures; soft failures; variable-in-flight stability test aircraft; Actuators; Adaptive estimation; Aerospace control; Aircraft; Bayesian methods; Computerized monitoring; Condition monitoring; Sensor systems; Stability; System testing;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
