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JunXU,KaiYewLum,AiPohLoh
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DOI:10.1007/s11768-010-0021-z
Received:January 20, 2010Revised:January 20, 2010
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A gain-varying UIO approach with adaptive threshold for FDI of nonlinear F16 systems
Jun XU,Kai Yew Lum,Ai Poh Loh
(Temasek Laboratories, National University of Singapore;Department of ECE, National University of Singapore)
Abstract:
A discrete gain-varying unknown input observer (UIO) method is presented for actuator fault detection and isolation (FDI) problems in this paper. A novel residual scheme together with a moving horizon threshold is proposed. This design methodology is applied to a nonlinear F16 system with polynomial aerodynamics coefficient expressions, where the coefficient expressions for the F16 system and UIOs may be slightly different. The simulation results illustrate that a satisfactory FDI performance can be achieved even when the F16 system is under the environment of model uncertainties, exogenous noise and measurement errors.
Key words:  Fault detection and isolation (FDI)  Unknown input observer (UIO)  Nonlinear estimation