Actuator Fault and Disturbance Estimation using the T-S fuzzy model

Shanzhi Li (1, 2) , Haoping Wang (2) , Abdel Aitouche (1, 3) , Yang Tian (2) , Nicolai Christov (4)

1 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
2 NJUST - Nanjing University of Science and Technology
3 HEI - Hautes Etudes d’Ingénieur [Lille]
4 SyNeR - Systèmes Non Linéaires et à Retards

This paper presents an actuator fault and disturbance estimation strategy using Takagi-Sugeno (TS) fuzzy model. In this approach, using a coordinate transformation, the TS fuzzy system is decomposed into three different modules: state subsystem without fault and disturbance, disturbance subsystem without fault, fault subsystem without disturbance. After the transformation, the fault and disturbance can be decoupled and calculated from the input and output signals and estimation state. The convergence of TS fuzzy observer is analyzed and proved. In order to verify the performance of the proposed approach, a wind turbine system with actuator fault and disturbance have been tested, the simulation results illustrate the efficiency of the proposed strategy.

Mots clés: TS fuzzy model and observer; actuator fault estimation; disturbance estimation

Domaines: Automatique / Robotique

Shanzhi Li, Haoping Wang, Abdel Aitouche, Yang Tian, Nicolai Christov. Actuator Fault and Disturbance Estimation using the T-S fuzzy model. The 20th World Congress of the International Federation of Automatic Control IFAC 2017 World Congress, IFAC, Jul 2017, Toulouse, France. ⟨hal-01736863⟩