Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi-Sugeno fuzzy model

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Li, Shanzhi | Wang, Haoping | Aitouche, Abdel | Christov, Nicolai

Edité par HAL CCSD ; Elsevier

International audience. This paper presents an active fault tolerant control (FTC) for doubly fed induction generator (DFIG) with actuator fault and disturbance using Takagi-Sugeno(TS) fuzzy model. The control structure has two parts: fault and disturbanceestimation part and FTC part. First, a TS fuzzy model is used to describe theDFIG system. Using a special linear transformation, the original system is decoupled into three independent subsystems: state subsystem without fault anddisturbance, disturbance subsystem without fault, and fault subsystem withoutdisturbance. By solving linear matrix inequalities (LMIs), a TS fuzzy observer is designed for the state subsystem without fault and disturbance. Second,estimations of faults and disturbance are obtained using the other subsystemmodels. Third, an active FTC scheme is developed to reduce the effect of disturbance and actuator faults. Finally, the performance of the proposed FTC istested for a wind turbine system based on DFIG with actuator faults and disturbance. The simulation results demonstrate that the new FTC scheme makespossible to obtain an efficient fault and disturbance estimation and to reducethe peak current in the transient process.

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