Wind power generation technology in China and the world is still not mature, and there is a lot of loss in the process of power generation. Many solutions have poor anti-interference (stability) and slow response speed, which makes it difficult to accurately and rapidly track the maximum power point and achieve the maximum output of the doubly-fed motor. Moreover, wind speed detection is difficult due to the large response time constant, low precision and poor dynamic adjustment ability of the wind turbine. It is difficult to achieve maximum wind tracking by adjusting wind turbine speed. In order to solve these problems, a DFIG mathematical model based on grid voltage orientation is established with the goal of maximizing the output power fed to the grid by the stator output of the doubly-fed motor, and fuzzy control is introduced on the basis of this model, so as to achieve maximum power point tracking strategy of doubly-fed motor. The control strategy of tracing the maximum power output from the stator of the doubly-fed motor to the grid is called the maximum power point tracking strategy.Finally, MATLAB is used to simulate and test the dynamic regulation performance under different wind speed conditions, and the stability and sensitivity of the maximum power point tracking of the doubly-fed motor are improved, and the optimal control can be quickly performed in the case of wind speed changes. Therefore, this method and theory have reference and application value.