Application of BP Neural Network for Wind Turbines

被引：6
|
作者：
Xing, Zuoxia [1 ]
Li, Qinwei [2 ,3 ]
Su, Xianbin [1 ]
Gu, Hengyi [4 ]
机构：
[1] Shenyang Univ Technol, Wind Energy Inst, Shenyang, Peoples R China
[2] Design Inst, Dept Jilin Provincial Elect Survey, Wind Power Project, Changchun, Peoples R China
[3] Jilin Univ, Coll Environm & Resources, Changchun, Peoples R China
[4] Acad Equipment Command & Technol, Beijing, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
BP; Pitch; Network; Control; simulink;
D O I：
10.1109/ICICTA.2009.18
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：42 / 44
页数：3
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