Fault Identification and Fault-Tolerant Control for Nonlinear Systems Based on Fuzzy T-S Model

Author

Wang, Wei ; Tong, Shaocheng ; Yu, Yang

Author_Institution

Inst. of Electr. Eng., Liaoning Univ. of Technol., Jinzhou, China

fYear

2009

fDate

7-9 Dec. 2009

Firstpage

946

Lastpage

949

Abstract

In this paper, diagnosis of actuator/component faults for a class of networked control nonlinear systems based on fuzzy T-S model using adaptive observer techniques is investigated. At first, under certain conditions, a stable adaptive fault diagnosis observer is proposed. Then based on the fault estimation information, a fault tolerant control is designed to recover the system performance using LMI method. Finally, simulation results verify the efficient of the proposed method.

Keywords

control system synthesis; fault tolerance; linear matrix inequalities; nonlinear control systems; observers; LMI method; adaptive fault diagnosis observer; adaptive observer techniques; fault estimation information; fault identification; fault-tolerant control; fuzzy T-S model; networked control nonlinear systems; Actuators; Adaptive control; Control system synthesis; Fault diagnosis; Fault tolerant systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-4244-5543-0

Type

conf

DOI

10.1109/ICICIC.2009.205

Filename

5412240