WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 9, 2014
Fault Detection and Isolation of Fuzzy System with Uncertain Parameters using the Bounded Approach
Authors: , ,
Abstract: This paper deals with the problem of state estimation and fault detection and localization of nonlinear systems with uncertain parameters. The multiple model approach is used to model the nonlinear system. This approach is based on the use of fuzzy systems principle. Uncertain parameters are modeled using the bounded approach. The technique proposed in this work is used for linear case but never in the case of nonlinear systems, which presents the main contribution in this paper. The principle of the proposed method is to consider that the system parameters are uncertain and the distribution value is unknown at the time of the court. Only the extreme bounds are known in advance. Using this method it is possible to generate fault indicators (named also residuals). These residuals are not sensitive to the parameter uncertainties and allow detecting and locating the faults affecting the system. A numerical example is showing the effectiveness of the presented method.
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Pages: 269-276
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 9, 2014, Art. #28