Title :
Multiple model adaptive estimation applied to the VISTA F-16 flight control system with actuator and sensor failures
Author :
Menke, Timothy E. ; Maybeck, Peter S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
Abstract :
Multiple model adaptive estimation is applied to the Variable In-flight Stability Test Aircraft (VISTA) F-16 flight control system. Single actuator and hard sensor failures are introduced and system performance is evaluated. A modified Bayesian approach allows for a blending of state estimates and provides lower bounds to enhance algorithm convergence properties. Scalar residual monitoring aids in resolving ambiguities by demonstrating residual characteristics consistent with a true failure. The algorithm demonstrates good convergence characteristics during purposeful commands and dither signals. Optimizing the dither to improve algorithm performance is effective
Keywords :
Bayes methods; adaptive systems; aircraft control; convergence of numerical methods; failure analysis; stability; state estimation; VISTA F-16 flight control; Variable In-flight Stability Test Aircraft; actuator; algorithm convergence; dither; failure; lower bounds; modified Bayesian approach; multiple model adaptive estimation; residual characteristics; scalar residual monitoring; sensor failures; state estimates; Actuators; Adaptive estimation; Aerospace control; Aircraft; Convergence; Sensor phenomena and characterization; Sensor systems; Stability; System performance; System testing;
Conference_Titel :
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0652-X
DOI :
10.1109/NAECON.1992.220534
