Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410624
Title: Fault detection and isolation for nonlinear F16 models using A gain-varying UIO approach
Authors: Xu, J. 
Lum, K.Y. 
Loh, A.P. 
Issue Date: 2009
Source: Xu, J., Lum, K.Y., Loh, A.P. (2009). Fault detection and isolation for nonlinear F16 models using A gain-varying UIO approach. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1330-1335. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410624
Abstract: This paper presents a gain-varying UIO (unknown input observer) method for actuator FDI (fault detection and isolation) problems. A novel residual scheme together with a piecewise threshold and a moving horizon threshold is proposed. This design methodology is applied to a nonlinear F16 system with polynomial coefficient models, where the F16 plant and UIOs may use different aerodynamics coefficient models. The simulation results show that a satisfactory FDI performance can be achieved even when the system is under the environment of model uncertainties, exogenous noise and measurement errors. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/70315
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410624
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