Optimization Design Of Controller For Large-scale Wind Turbines Based On Bladed

Wind power is a green power which is regenerative and clean. Because of the shortage of general energy sources and the problems caused by overusing the general energy sources, the exploit age of wind power make great sense.At present the domestic application wind power generation unit mostly uses changes the oar to change speed the permanent frequency system, has the wind to be able the utilization factor high, safe reliable, merits and so on improvement complete machine stress, however still faces the load oversized, the power surge big and changes the oar too to be frequent and so on the questions, therefore, in the large-scale wind power generation unit system, the choice most suits the control strategy the controller optimized design to reveal importantly especially.The application control theory middle the wind-driven generator control, must first the non-linear air blower model modality linearization. Carries on the controller on this linear control system model the optimized design, then carries on the control system the closed loop performance simulation confirmation. The air blower control system is more than one enters are many the system, the control system input may for survey quantities and so on the generator or wind wheel rotational speed, wind wheel and generator power and torque, the control output may be the pitch angle and the generator torque. This article profits from other literature introduction the control method, and considers the good and bad points of these methods. Below rated wind speed, BP neural network PID controller is designed for wind turbine to capture maximal wind energy. Above rated speed RBF neural network PID controller is designed for adjusting the pitch angle, and it causes the power maintaining at the rated powerThis article primary intention lies in the optimized design of controller. Using the formidable performance of Bladed, some insufficiencies of formerly control method such as survey parameters is not precise and so on are covered. And the load can be analyze for the optimized goal The unit quality, the inertia, the rigidity and some others data are input to Bladed. With the external controller model of Bladed it is programmed and simulated for checking the performance of the controller.