Optimal speed tracking for wind power generator via switching control

For the control target of capturing maximum power for variable speed wind turbine when the wind speed is below the rated wind speed, a switching “optimal” tracking controller of the generator angular velocity is designed. First, the generator optimal angular velocity is identified by using dynamic fuzzy neural network. Then a generator angular velocity optimal tracking controller is designed by using different system parameters in different angular velocity range based on switching control. The ideal of the control is by controlling the voltage of the generator rotor to adjust the generator angular velocity, so it can track the optimal angular velocity. By simulation its result shows that the controller makes the system track the optimal angular velocity, and so realizes maximum wind power capture.