Fault-tolerant control for a class of nonlinear sampled-data systems via a Euler approximate observer. (English) Zbl 1218.93051

Mao, Zehui; Jiang, Bin; Shi, Peng

Automatica 46, No. 11, 1852-1859 (2010).

Summary: A fault-tolerant control scheme is developed for a class of nonlinear sampled-data systems. First, an Euler approximate discrete model is used to describe the plant under the sampling. Under this model, an observer-based fault estimation method is proposed. To guarantee the accuracy of both the state and fault estimation values, the conditions to make the approximate model consistent with the exact model are presented. Then, an active fault-tolerant controller, which has a constraint condition for the sampling time, is designed to make the faulty system stable. Finally, an inverted pendulum is used to show the efficiency of the proposed method.

MSC:

93C57	Sampled-data control/observation systems
93C10	Nonlinear systems in control theory
93C40	Adaptive control/observation systems
93D20	Asymptotic stability in control theory
93B07	Observability

Keywords:

fault-tolerant control; fault estimation; adaptive control; nonlinear sampled-data systems

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