Title :
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
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;
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
DOI :
10.1109/ICCAE.2010.5451717
