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基于模糊RBF神经网络的风电机组变桨距控制
引用本文:韩旭杉,陈翡.基于模糊RBF神经网络的风电机组变桨距控制[J].电气传动,2011,41(2):36-39.
作者姓名:韩旭杉  陈翡
作者单位:韩旭杉,HAN Xu-shan(甘肃省电力公司,甘肃,兰州,730050);陈翡,CHEN Fei(甘肃兰州供电公司,甘肃,兰州,730050)
摘    要:在介绍模糊RBF神经网络基本原理的基础上设计了模糊RBF神经网络控制器,并将其应用于大型变速变桨风力发电机组的变桨距控制中.在风速高于额定风速时,通过控制桨叶节距角来改变攻角从而改变风机获得的空气动力转矩,以实现输出功率稳定在额定值.将该模糊神经网络控制方法和PI控制进行仿真比较,结果表明前者优于PI控制.

关 键 词:风力发电  功率控制  变速变桨  模糊神经网络  Matlab仿真

Variable Pitch-control Based on Fuzzy RBF Neural-network of Wind Turbine
HAN Xu-shan,CHEN Fei.Variable Pitch-control Based on Fuzzy RBF Neural-network of Wind Turbine[J].Electric Drive,2011,41(2):36-39.
Authors:HAN Xu-shan  CHEN Fei
Affiliation:HAN Xu-shan1,CHEN Fei2(1.Gansu Provincial Power Company,Lanzhou 730050,Guansu,China,2.Gansu Lanzhou Power Supply Company,Gansu,China)
Abstract:A RBF fuzzy neural network controller based on fuzzy RBF neural network principles was applied to variable pitch control of the variable speed-variable pitch wind turbine.The angle of attack is changed by controlling the blade pitch angle to change the fan aerodynamic torque available to achieve the rated output power stability,when the wind speed above the rated wind speed.Compared the fuzzy neural network control method and PI control,the results show that the former is superior to PI control.
Keywords:wind power  power control  variable speed pitch regulated  fuzzy neural network  Matlab simulation  
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