A variable step-size LMS algorithm of harmonic current detection based on fuzzy inference

Author

Wang, Yun-liang ; Bao, Ming

Author_Institution

Tianajin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China

Volume

2

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

665

Lastpage

668

Abstract

The working performance of the active power filter is dependent on harmonic current detection. Based on adaptive noise canceling technology, this paper improved the classic LMS algorithm ant got a fuzzy variable step-size LMS algorithm of harmonic current detection which uses the average estimation of error signal to control the updating of step-size by fuzzy inference. The algorithm has a fast response while ensuring high precision. The simulation results verify the effectiveness of this algorithm.

Keywords

active filters; active noise control; fuzzy logic; harmonic distortion; inference mechanisms; least mean squares methods; power filters; power system harmonics; active power filter; adaptive noise canceling technology; average estimation; error signal; fuzzy inference; fuzzy variable step size LMS algorithm; harmonic current detection; Active filters; Adaptive control; Adaptive signal detection; Fuzzy control; Inference algorithms; Least squares approximation; Noise cancellation; Power harmonic filters; Power system harmonics; Programmable control; adaptive filtering; fuzzy inference; harmonic detection; variable step-size;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451717

Filename

5451717