摘要
阐述了神经网络转速辨识的基本原理和方法,构造了基于神经网络的双馈风力发电矢量控制系统,并在MATLAB/Simulink环境下,对该控制系统进行了仿真研究,结果表明该辨识方法比PI自适应算法的鲁棒性强,且有很好的快速逼近性。
Research is made into the basic principle and methods of neural network speed estimate.According to this theory,a kind of double-fed wind generator vector control system based on neural network is built.Simulation of this system is made in MATLAB/Simulink,and simulating results show that neural network speed estimate method has good robustness,convergence speed and approximation characteristic.
出处
《装备制造技术》
2012年第2期35-37,共3页
Equipment Manufacturing Technology
关键词
风电系统
矢量控制
转速估计
无速度传感器
神经网络
wind-power generator system
vector control
speed estimate
speed sensor less
neural network
