Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Dezhi Xu ; Bin Jiang ; Peng Shi

International Journal of Applied Mathematics and Computer Science, Tome 22 (2012), p. 183-196 / Harvested from The Polish Digital Mathematics Library

Résumé

Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.

Détail

Publié le : 2012-01-01

Zbl 1273.93105

EUDML-ID : urn:eudml:doc:208094

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