A Neural Networks-Based Method for Single-Phase Harmonic Content Identification

被引：0

作者：

Nascimento, Claudionor F. ^{[1
]}

Oliveira, Azauri A., Jr. ^{[2
]}

Goedtel, Alessandro ^{[3
]}

Silva, Ivan N. ^{[2
]}

Suetake, Marcelo

机构：

[1] UNESP FEB, Bauru, SP, Brazil

[2] USP EESC, Sao Carlos, SP, Brazil

[3] UTFPR CP, Cornelio Procopio, PR, Brazil

来源：

IECON 2008: 34TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-5, PROCEEDINGS | 2008年

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A neural method is presented in this paper to identify the harmonic components of an ac controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by applying it to an active power filter (APF) model dedicated to the selective harmonic compensation. Simulation results using theoretical and experimental data are presented to validate the proposed approach.

引用

页码：2606 / +

页数：2

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