Adaptive neural network based harmonic current compensation in active power filter

被引：0

作者：

Rukonuzzaman, A ^{[1
]}

Nakaoka, M ^{[1
]}

机构：

[1] Yamaguchi Univ, Power Elect Syst & Control Lab, Yamaguchi 7558611, Japan

来源：

IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2001年

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：

An advanced active power filter for the compensation of instantaneous harmonic cut-rent components in non-linear cut-rent load is presented in this paper. A novel signal processing technique using adaptive neural network algorithm is applied for the detection of harmonic components generated by nonlinear current loads and can efficiently determine the instantaneous harmonic components in real time. The control strategy of the switching signals to compensate current harmonic of the inverter is also discussed and the switching signals are generated with the space voltage vector modulation scheme. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results.

引用

页码：2281 / 2286

页数：6

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