基于小波神经网络的单相三电平逆变器谐波检测  

Wavelet Neural Network for Single Phase Three Level Inverter Harmonic Detection

作　　者：马辉[1] 王玉华[2] 刘朋朋[1] 贾文超[1] 

机构地区：[1]长春工业大学,吉林长春130012 [2]台州学院,浙江台州318000

出　　处：《节能技术》2012年第6期516-520,共5页Energy Conservation Technology

摘　　要：本文采用小波神经网络(Wavelet Neural Network,WNN)算法对时变谐波信号进行检测。利用Harr小波对谐波信号的幅值和相角进行逼近;将小波对信号的自适应时频分割特性引入神经网络,提高神经网络的逼近和收敛速度;给出网络参数的选定方案;确定网络的训练算法。在MATLAB/SIMULINK环境下对该算法进行仿真,与传统的小波算法比较,该算法不仅可行,而且精确度得到提高。The time-varying harmonic signal was detected by wavelet neural network algorithm.Using Harr wavelet approximation time-varying amplitude and phase angle,Wavelet on the signal adaptive time-frequency characteristics of neural network is introduced to improve segmentation,neural network approximation and convergence performance;By giving the network parameters of the selected scheme,and determining the network training algorithm,the feasibility and accuracy in the MATLAB/SIMULINK environment simulation are proved.

关 键 词：小波神经网络 时变谐波检测 Harr小波变换 

分 类 号：TM74[电气工程—电力系统及自动化]