Shehryar

In case of wind turbine Induction generators which are directly connected to grid a control problem arises when the wind speed increases above the rated wind speed, some measure needs to be taken to limit the aerodynamic torque of the wind turbine in order to keep the output power at its rated value. For this purpose various controlling variables may be chosen, like generator speed and generator power and wind speed. One of the popular approach is to use PI controller because it is easy to implement and has been widely used in the industry. Problem with PI controller is that over the period of time with the variation in plant parameters, gains of the PI controller needs manual tuning. Here we have tried to implement self-learning neuro-fuzzy controller proposed by (W.W. Tan, 1999) to control the pitch angle of the wind turbine when the wind speed is above the rated speed. The self-learning neuro-fuzzy logic control strategy has the potential when the system contains strong non-linearity, such as wind turbulence is strong.