Pitch control of variable speed constant frequency wind turbines based on neural network controller

In order to solve nonlinear, multi-disturb and time lag problem of wind turbine generator (WTG), a pitch control of variable speed constant frequency wind turbines based on neural network is investigated after analyzing characteristics of WTG and requisitions of pitch control. In this approach, by application of neural network model identification, model predictive control and feed forward control are distinguishingly executed. So it both solves the problem of modeling WTG, and erases the influence of the main interference, variable wind speed, on control quality. As a result, it enhances rapidity and anti-interference capability of pitch system. Simulation results show that the proposed method is effective and practical.