Fault Detection and Isolation For Wind Turbine System Based On Proportional Multi-Integral Observer (PMIO)

This paper concerns the problem of Fault Detection and Isolation (FDI) of the wind turbines based a Proportional Multi-Integral Observer (PMIO). The main contribution of this paper is consisting of two part, in the fist part we have linearized the model of the wind turbine using Takagi-Sugeno (TS) approach based on the Lyapunov stability theory and LMI condition. Furthermore in second part the PMI observer has been considered for TS fuzzy model to estimate both actuator and sensor faults with introducing a centered noise. Although the k th derivatives of the actuators and sensor faults are not equal to zero and are bounded norm. However based on Lyapunov stability theory and L 2 performance analysis, the design conditions are established in LMIs formulations. The simulation shows that our proposal outperforms some existing approaches in the literature.