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Nonlinear system fault diagnosis based on adaptive estimation. (English) Zbl 1056.93034
Summary: 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.
MSC:
93B51Design techniques in systems theory
93E10Estimation and detection in stochastic control
93B07Observability
93C10Nonlinear control systems
90B25Reliability, availability, maintenance, inspection, etc. (optimization)