摘要
以Rogowski线圈电子式电流互感器(CET)为研究对象,将FIR滤波器引入到电子式互感器的积分环节中,FIR高通滤波器很好地消除了直流漂移与积分初值不确定的影响,但同时FIR滤波算法产生了相位延迟的问题。针对这一问题提出了一种对初始数据进行数据延拓的FIR滤波优化算法。通过实验验证,经过优化的FIR滤波算法不仅提高了FIR滤波器的滤波效果,而且很好地消除了传统FIR滤波算法带来的相位延迟。
In this paper, through taking Rogowski coil CET as the object of study, the FIR filter was introduced into the integral element of electronic transformer. FIR high-pass filter eliminates the influence of DC drift and uncertainty of integral initial value, but the phase delay problem arises from the FIR filtering algorithm simultaneously. To solve this problem, a FIR filtering optimization algorithm for data extension of initial data was proposed. The experimental results show that the optimized FIR filtering algorithm can improve the filtering effect of the FIR filter and eliminate the phase delay problem caused by the traditional FIR filtering algorithm.
作者
坚葆林
李许军
姜毅龙
JIAN Bao-lin;LI Xu-jun;JIANG Yi-long(Gansu Institute of Mechanical & Electrical Engineering)
出处
《化工自动化及仪表》
CAS
2019年第8期640-644,共5页
Control and Instruments in Chemical Industry
基金
甘肃省自然科学基金项目(1610RJZE131)
甘肃省高等学校科研项目(2018A-186)
天水市科技支撑项目(2019-GXJSK-1338)
关键词
电子式互感器
FIR滤波
积分环节
数据拓延
electronic transformer
FIR filtering
integral element
data extension