Pitch Control Algorithm of Wind Turbine Based on Back Propagation Neural Network and PID Control

被引:0
作者
Yang, Xu
Guo, Rui
Zhang, Jian Xun
机构
来源
MANUFACTURING, DESIGN SCIENCE AND INFORMATION ENGINEERING, VOLS I AND II | 2015年
关键词
Pitch Control; Neural Network; PID; Bladed;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Aiming at pitch system of wind turbine, the paper explores the issue concerning efficient optimization of setting parameters under complex situation. Based on conventional PID control system, the NN (neural network) control has been introduced, using NN auto tuning, online optimization setting PID controller. The improvement has greatly increased control precision, promoted generating efficiency, and accordingly reduced mechanical load. The algorithm simulation testing has been carried out on the basis of Bladed software platform, as a result of which the static and dynamic performance have been largely improved in complex situation.
引用
收藏
页码:656 / 663
页数:8
相关论文
共 8 条
[1]  
Bossanyi E A, 2005, GH BLADED V3 67, P100
[2]  
Burton T, 2001, WIND ENERGY HDB, P480
[3]  
Li Shiyong, 2004, FUZZY CONTROL NEURAL, P74
[4]  
Liu Weilie, 2006, TWINCAT PLC SENIOR P, P280
[5]  
Wang Bin, 2010, Electric Power Automation Equipment, V30, P81
[6]  
Xu hao, ELECT DRIVE, V42, P32
[7]  
Ye Hangye, 2002, CONTROL TECHNOLOGY W, P129
[8]  
Zhang Zhijun, J CHONGQING U, V34, P64