Soft Computing Techniques for the Control of an Active Power Filter

被引：118

作者：

Kumar, Parmod ^{[1
]}

Mahajan, Alka ^{[2
]}

机构：

[1] Delhi Coll Engn, Dept Elect Engn, Delhi 110042, India

[2] Aurora Technol & Res Inst, Hyderabad 500055, Andhra Pradesh, India

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2009年 / 24卷 / 01期

关键词：

Active power filter (APF); fuzzy logic; genetic algorithm (GA); neural network;

D O I：

10.1109/TPWRD.2008.2005881

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

Nonmodel-based controllers have been explored for the control of a shunt active power filter (APF) designed for harmonic and reactive current mitigation. In this paper, three soft computing techniques viz; fuzzy logic, neural network, and genetic algorithm are used to design alternative control schemes for switching the APF. The models for these control schemes are designed and simulated in MATLAB. A comparative study of the results obtained using these artificial-intelligence-based schemes is presented.

引用

页码：452 / 461

页数：10

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