摘要：Aiming at the problem that some wind turbines are difficult to achieve stability and low fitting accuracy when they are connected to the grid, an intelligent control method of wind turbine is proposed. Intelligent control is designed, and the output of the control object is the same as the expected output. The initial fuzzy control rules are obtained by the nearest neighbour clustering algorithm and the rules are optimized by the neural network. The fuzzy control and control strategy are integrated to realize the intelligent control of wind turbine with no load. Experiment results show that: compared with conventional control method, the intelligent control method of no-load grid-connection reaches a stable state sooner. The quadratic sum of fitting errors of the intelligent control method is lower than that of the conventional control method, which indicates that the intelligent control method has a higher fitting precision for samples, and the effect is better when the fan is connected to the grid without load.
