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

fYear

2011

fDate

30-31 July 2011

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems Engineering (CASE), 2011 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4577-0859-6

Type

conf

DOI

10.1109/ICCASE.2011.5997571

Filename

5997571