Sliding mode observers for T-S fuzzy systems with application to sensor fault estimation

Author

Haouari, F.A. ; Djemai, M. ; Cherki, B.

Author_Institution

Dept. of Electr. Eng. & Electron., Tlemcen Univ., Tlemcen, Algeria

fYear

2015

fDate

25-27 May 2015

Firstpage

1

Lastpage

5

Abstract

In this paper, we consider the sensor fault detection and isolation problem for the nonlinear dynamic systems that can be represented in the form of Takagi-Sugeno (T-S) fuzzy models. We propose an extension of the step-by-step high order sliding mode observers to T-S fuzzy models. The finite time estimation of sensor faults is obtained using the super-twisting algorithm. The proposed algorithm is tested on an hydraulic system affected by sensor faults.

Keywords

fault diagnosis; fuzzy control; nonlinear dynamical systems; observers; sensors; variable structure systems; T-S fuzzy systems; Takagi-Sugeno fuzzy models; finite time estimation; high order sliding mode observers; hydraulic system; nonlinear dynamic systems; sensor fault detection and isolation problem; sensor fault estimation; super-twisting algorithm; Fault detection; Fuzzy systems; Mathematical model; Nonlinear systems; Observers; Takagi-Sugeno model; Fault detection and isolation; Fault estimation; Step-by-step sliding mode observer; Super-twisting algorithm; Takagi-Sugeno (T-S) fuzzy model;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on

Conference_Location

Tlemcen

Type

conf

DOI

10.1109/CEIT.2015.7233054

Filename

7233054