Nonlinear system fault diagnosis based on adaptive estimation

Authors:
Aiping Xu;Qinghua Zhang
Affiliations:
Shandong University, Jinan 250100, China;IRISA-INRIA, Campus de Beaulieu, 35042 Rennes Cedex, France
Venue:
Automatica (Journal of IFAC)
Year:
2004

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Abstract

An approach to fault diagnosis for a class of nonlinear systems is proposed in this paper. It is based on a new adaptive estimation algorithm for recursive estimation of the parameters related to faults. This algorithm is designed in a constructive manner through a nontrivial combination of a high gain observer and a recently developed linear adaptive observer, without resort to any linearization. Its global exponential convergence is ensured by an easy-to-check persistent excitation condition. A numerical example is presented for illustration.