Research Repository

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

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

Full text for this resource is not available from the Research Repository.


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.

Item Type: Article
Uncontrolled Keywords: ResPubID25773, actuator fault estimation, Takagi-Sugeno fuzzy models, robust sliding mode observer, inverse system method, actuators
Subjects: Current > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Depositing User: Yimin Zeng
Date Deposited: 22 Jul 2014 06:10
Last Modified: 22 Jul 2014 06:13
ePrint Statistics: View download statistics for this item
Citations in Scopus: 57 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar