Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi-Sugeno fuzzy model
Résumé
This paper presents an active fault tolerant control (FTC) for doubly fed induc
tion generator (DFIG) with actuator fault and disturbance using Takagi-Sugeno
(TS) fuzzy model. The control structure has two parts: fault and disturbance
estimation part and FTC part. First, a TS fuzzy model is used to describe the
DFIG system. Using a special linear transformation, the original system is de
coupled into three independent subsystems: state subsystem without fault and
disturbance, disturbance subsystem without fault, and fault subsystem without
disturbance. By solving linear matrix inequalities (LMIs), a TS fuzzy observ
er is designed for the state subsystem without fault and disturbance. Second,
estimations of faults and disturbance are obtained using the other subsystem
models. Third, an active FTC scheme is developed to reduce the effect of dis
turbance and actuator faults. Finally, the performance of the proposed FTC is
tested for a wind turbine system based on DFIG with actuator faults and dis
turbance. The simulation results demonstrate that the new FTC scheme makes
possible to obtain an efficient fault and disturbance estimation and to reduce
the peak current in the transient process.