Multiple model adaptive estimation applied to the VISTA F-16 flight control system with actuator and sensor failures
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
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
This publication has 6 references indexed in Scilit:
- Multiple model adaptive controller for the STOL F-15 with sensor/actuator failuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Reconfigurable flight control via multiple model adaptive control methodsIEEE Transactions on Aerospace and Electronic Systems, 1991
- An analysis of the multiple model adaptive control algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1980
- The stochastic control of the F-8C aircraft using a multiple model adaptive control (MMAC) method--Part I: Equilibrium flightIEEE Transactions on Automatic Control, 1977
- Adaptive Estimation and Parameter Identification Using Multiple Model Estimation AlgorithmPublished by Defense Technical Information Center (DTIC) ,1976
- Optimal adaptive estimation of sampled stochastic processesIEEE Transactions on Automatic Control, 1965