Title :
Research on Individual Pitch Control Based on Inflow Angle
Author :
Yang, Min ; Gang Xing
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Polytech. Univ., Tianjin, China
Abstract :
The pitch-controlled techniques for large scale wind turbine are deeply analyzed in this paper. Based on wind turbine aerodynamics, the basic law of pitch control is deduced, and a design of hydraulic pressure system of individual pitch control is introduced. The correlative theoretical calculation results are also analyzed. Using neural networks, a control strategy of individual pitch control based on inflow angle prediction is proposed. The simulation results show that it can effectively reduce the aerodynamic fatigue loads on blades, and its effect of power control is very significant.
Keywords :
aerodynamics; blades; hydraulic control equipment; neurocontrollers; power control; pressure control; wind turbines; aerodynamic fatigue load; blade; control strategy; hydraulic pressure system; inflow angle prediction; large scale wind turbine; neural network; pitch control; power control; wind turbine aerodynamics; Aerodynamics; Blades; Control systems; Force; Training; Wind speed; Wind turbines;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997571