Aiming at the maximum power point tracking for wind turbine, a sensorless intelligent second-order integral sliding mode control based on wind speed estimation is proposed in this article. The maximum wind energy capture is realized by controlling permanent magnet synchronous motor to adjust the speed of wind turbine. First, an intelligent second-order integral sliding mode control is designed for the speed loop and current loop control, which has fast convergence speed, strong robustness and can effectively reduce chattering. Second, a novel cascade observer based on direct sliding mode observer and extended high-gain observer is used to estimate the rotor speed and position. Besides, combined radial basis function neural network is used to estimate the valid value of wind speed. Both simulation and experiment are implemented, which verify the effectiveness of the proposed strategy under the condition of considering both model uncertainty and external disturbance.

针对风力发电机的最大功率点跟踪问题，提出了一种基于风速估计的无传感器智能二阶积分滑模控制方法。通过控制永磁同步电动机来调节风力发电机的转速，可以实现最大的风能捕获。首先，针对速度环和电流环控制设计了智能二阶积分滑模控制，收敛速度快，鲁棒性强，可以有效减少抖动。其次，基于直接滑模观测器和扩展高增益观测器的新型叶栅观测器用于估计转子速度和位置。此外，结合径向基函数神经网络用于估计风速的有效值。模拟和实验均已实现，