Application of Neural Network Technology in the Individual Pitch Control System

Owing to the lower energy density, the randomness and the instability of the wind energy, it is difficult to control the large-scale wind turbine generators. Based on the domestic megawatt wind turbine generator system, the pitch control techniques for large scale wind turbine are deeply analyzed in this thesis. The basic law of pitch control is analyzed on the basis of the theory of wind turbine blade aerodynamics, and then a design of individual pitch control is proposed. By the use of neural networks, a new strategy of control individual pitch control (IPC) which is based on inflow angle prediction is put forward. By means of simulation results, it can be concluded that IPC can effectively reduce the aerodynamic fatigue load on blades, and the result of power control is prefect.