Fault Detection and Isolation in DFIG Driven by a Wind Turbine

This paper presents a new approach to detect and isolate the current sensor faults, a doubly fed induction generator (DFIG) for a wind turbine application. And to detect the variable resistance faults. A method using an unknown input of multiple observers described via Takagi-Sugeno (T-S) multiple models. A bank of multiple observers scheme (DOS) generates a set of residuals for detection and isolation of sensor faults which can affect a TS model. A decision system is used to the process the residual vector to detection and isolation faults. The stability and the performance of the multiple models are formulated in terms of Linear Matrix Inequalities (LMIs). The approach is validated using Matlab software to modeling and simulation of a DFI°∗