DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/88

Title: Fast tracking of transient power system signals using fuzzy LMS algorithm
Authors: Dash, P K
Liew, A C
Swain, D P
Mishra, B
Keywords: LMS algorithm
signal tracking
fuzzy rule base
Issue Date: 1998
Publisher: Elsevier
Citation: International Journal of Electrical Power & Energy Systems, Vol 20, Iss 8, P 555-561
Abstract: The paper presents an adaptive least mean squares (LMS) algorithm for the fast estimation of voltage and current signals in power networks. The new estimator is based on the use of linear combiners. The learning parameter of the proposed algorithm is constrained by two variable parameters which causes an automatic suitable adjustment of the step size using a fuzzy gain scheduling method to provide fast convergence and noise rejection for the tracking of fundamental and harmonic components from distorted signals. Several numerical tests have been conducted for the adaptive estimation of fundamental and harmonic components from simulated waveforms from power networks supplying converter loads and switched capacitors.
Description: Copyright for this article belongs to Elsevier Science Ltd
URI: http://hdl.handle.net/2080/88
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
pkd19982.pdf413KbAdobe PDFView/Open

Show full item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback