Application of BP Neural Network for Wind Turbines

Author

Xing, Zuoxia ; Li, Qinwei ; Su, Xianbin ; Guo, Hengyi

Author_Institution

Wind Energy Inst., Shenyang Univ. of Technol., Shenyang, China

Volume

1

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

42

Lastpage

44

Abstract

In order to solve non-linear, parameter time changing, anti-disturb and time-lag problems, a PID control method based on the BP neural network has been presented and applied in the variable pitch wind turbine control system. After analyzing the BP neural network PID control principles, a control system was established. Then the simulation was carried out based on Simulink. Finally, a conclusion was made.

Keywords

backpropagation; neurocontrollers; nonlinear control systems; power system control; three-term control; time-varying systems; wind turbines; BP neural network application; PID control method; Simulink; anti-disturb problem; nonlinear problem; parameter time changing problem; time-lag problems; variable pitch wind turbine control system; wind turbines; Communication system control; Control systems; Error correction; Neural networks; Open loop systems; Power generation; Three-term control; Wind energy; Wind energy generation; Wind turbines; BP; Control; Network; Pitch; simulink;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.18

Filename

5287712