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

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Xu, Dezhi, Jiang, Bin and Shi, Peng (2012) Nonlinear actuator fault estimation observer: an inverse system approach via a T-S fuzzy model. International Journal of Applied Mathematics and Computer Science, 22 (1). pp. 183-196. ISSN 1641-876X

Abstract

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.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/23198
DOI https://doi.org/10.2478/v10006-012-0014-9
Official URL http://www.degruyter.com/view/j/amcs.2012.22.issue...
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords ResPubID25773, actuator fault estimation, Takagi-Sugeno fuzzy models, robust sliding mode observer, inverse system method, actuators
Citations in Scopus 60 - View on Scopus
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