Title :
Robust fault detection for nonlinear time-delay systems based on fuzzy observer
Author :
Tao Hongfeng ; Zhang Hua ; Hu Shousong
Author_Institution :
Key Lab. of Adv. Process Control for Light Ind. Minist. of Educ., Jiangnan Univ., Wuxi, China
Abstract :
Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method of the design of sliding mode observers is introduced to generate the estimate state error and residual then to eliminate the effect of the unknown uncertainties of the system for avoiding false alarms, the synthesis method of the observers is presented via solving LMIs. Finally, a simulation example is given to show the design procedure and illustrate the effectiveness of the proposed method.
Keywords :
control system synthesis; delay systems; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; uncertain systems; variable structure systems; LMI; fuzzy sliding mode observers; linear matrix inequalities; nonlinear time-delay system; robust fault detection; state error estimation; synthesis method; uncertain Takagi-Sugeno fuzzy model; Fault detection; Nonlinear systems; Observers; Robustness; Takagi-Sugeno model; Uncertainty; T-S fuzzy model; fault detection; nonlinear time-delay systems; sliding mode observer;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895469