一种基于最速下降算法的基波提取自适应滤波器  

Adaptive filter based on steepest descent method for fundamental extraction

作　　者：饶莹[1] 郑建勇[2] 

机构地区：[1]南京供电公司,江苏南京210008 [2]东南大学电气工程系,江苏南京210096

出　　处：《电力自动化设备》2006年第8期19-22,44,共5页Electric Power Automation Equipment

基　　金：江苏省高技术项目(BG2004038);江苏省科技攻关项目(BE2003043)~~

摘　　要：提出了一种基于最速下降算法的单相基波提取自适应滤波方法。对该自适应滤波器原理及设计方法进行了说明,给出基波信号各参数表达式,通过大量的Matlab仿真,着重对该系统在电压畸变情况下的基波撮取性能进行考查,同时分析了其检测精度与动态响应的关系、初始值的设置对检测效果的影响,结果表明,该自适应滤波器构成一个稳定的多参数(幅值、频率、相位)反馈控制回路,可较准确地提取单相信号的基波分量,实时性好,且具有良好的鲁棒性和抗干扰能力。An adaptive filter based on the steepest descent method is presented to extract the single -phase fundamental. Its principle and design are explained and expressions of fundamental signal parameters are offered. Through plenty simulations with Matlab,the extraction performance with distorted input voltages is investigated,as well as the relationship between the precision and the dynamic response and the influence of initial value setting on the performance are analyzed. Results show that,it forms a stable multi-parameter（magnitude,frequency and phase） feedback control system,which extracts the single- phase fundamental rather correctly. It has good real-time performance and is robust with uncertainties and noise.

关 键 词：最速下降算法 自适应滤波 基波 仿真 

分 类 号：TM744[电气工程—电力系统及自动化]