Title :
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
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;
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
DOI :
10.1109/ICICTA.2009.18
