Abstract：Regarding the problem about effective wind speed estimation acting on wind turbines, the Kalman filter was designed for optimal estimation of rotor torque and wind speed. The feed-forward control law was used to reject disturbances. The predictive controller of pitch was built that has the target to minimize top tower fore-aft offset and regulate rotor speed. The proposed control strategy was simulated and verified in Matlab with data of 5WM wind turbine. Results show that the composite control with disturbance feed-forward and predictive feedback can reject disturbances effectively, reduce the fatigue loads of mechanical components and improve the performance of wind turbines.
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2016, Vol. 31 
