Adaptive neural network based harmonic detection for active power filter

被引：0
|
作者：
Rukonuzzaman, M [1 ]
Nakaoka, M [1 ]
机构：
[1] Yamaguchi Univ, Power Elect Lab, Ube, Yamaguchi 7558611, Japan
来源：
IEICE TRANSACTIONS ON COMMUNICATIONS | 2003年 / E86B卷 / 05期
关键词：
active power filter; harmonics; compensating current; adaptive neural network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel signal processing technique using adaptive neural network algorithm is applied for the on-line detection of harmonic current components generated by nonlinear current loads in the single-phase diode bridge rectifier and it can efficiently determine the harmonic current components in real time. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.
引用
收藏
页码：1721 / 1725
页数：5
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