Fast tracking of transient power system signals using fuzzy LMS algorithm

被引：10

作者：

Dash, PK ^{[1
]}

Liew, AC

Swain, DP

Mishra, B

机构：

[1] Natl Univ Singapore, Dept Elect Engn, Singapore, Singapore

[2] Reg Engn Coll, Ctr Intelligent Syst, Rourkela, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 1998年 / 20卷 / 08期

关键词：

signal tracking; LMS algorithm; fuzzy rule base;

D O I：

10.1016/S0142-0615(97)00065-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The paper presents art 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. (C) 1998 Published by Elsevier Science Ltd All rights reserved.

引用

页码：555 / 561

页数：7

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