Estimation of state, actuator and sensor faults for T-S models

Author

Bouattour, M. ; Chadli, M. ; Hajjaji, A. El ; Chaabane, M.

Author_Institution

Lab. of Modelisation, Inf. et Syst., Univ. of Picardie Jules Verne, Amiens, France

fYear

2010

fDate

15-17 Dec. 2010

Firstpage

1613

Lastpage

1618

Abstract

For nonlinear systems described by Takagi-Sugeno (T-S) model, a T-S observer is proposed to estimate both system state, sensor and actuator faults. The method uses the technique of descriptor systems by considering sensor and actuator faults as auxiliary state variables. This method has the advantage to estimate the state variables and the sensor and actuator faults simultaneously. The observer gains are then determined based on Linear Matrix Inequalities (LMI) technique. A numerical example is proposed to demonstrate the efficiency of the given design.

Keywords

actuators; fault diagnosis; linear matrix inequalities; nonlinear systems; observers; sensors; T-S observer; Takagi-Sugeno model; actuator fault; auxiliary state variable; descriptor system; linear matrix inequalities; nonlinear system; sensor fault; state estimation; system state; Actuators; Fuzzy systems; Numerical models; Observers; Symmetric matrices; Descriptor approach; Faults estimation; LMI; Sensor/Actuator faults; T-S fuzzy models; observer;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control (CDC), 2010 49th IEEE Conference on

Conference_Location

Atlanta, GA

ISSN

0743-1546

Print_ISBN

978-1-4244-7745-6

Type

conf

DOI

10.1109/CDC.2010.5717314

Filename

5717314