基于卡尔曼滤波算法的改进测频算法

许仪勋; 李旺; 张敬周

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DOI:10.3969/j.issn.1006-4729.2015.03.011

上海电力大学学报:2015,31(3):247-250,254

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基于卡尔曼滤波算法的改进测频算法

许仪勋^1,2, 李旺^1,2, 张敬周^1,2

(1. 上海电力学院电气工程学院;2.
2. 上海科学院上科信息技术研究所)

Improved Frequency Measurement Algorithm Based on Kalman Filter

XU Yixun^1,2, LI Wang^1,2, ZHANG Jingzhou^1,2

(1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.
2. Shangke Information Technology Institute, Shanghai Academy of Science & Technology, Shanghai 201210, China)

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投稿时间：2014-09-24

中文摘要: 分析了经典卡尔曼以及其相关的改进算法的跟踪特性,提出了一种利用拉格朗日线性插值的电压过零点法测得电网频率,再经过改进卡尔曼滤波得到高精度频率的测频算法,具有实时、快速跟踪的特点,且频率测量精确度高.最后通过Matlab软件进行实例仿真,验证了该改进算法的可行性.

中文关键词: 频率测量线性插值过零点法卡尔曼滤波器

Abstract:After analyzing the characteristics of the classic Kalman tracking and its improved relative algorithms, a kind of frequency measurement algorithms is put forward, which obtains the grid frequency by the voltage zero-crossing method based on Lagrangian linear interpolation. Then the high accuracy frequency could be obtained by means of the improved Kalman filter algorithm.The improved algorithm is characterized by real-time, fast tracking, and high accuracy. Finally, through Matlab software instance simulation, the feasibility of the improved algorithm is proved.

keywords: frequency measurement linear interpolation zero-crossing method Kalman filter

文章编号：20150311 中图分类号： 文献标志码：

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作者	单位	E-mail
许仪勋	1. 上海电力学院电气工程学院 2. 上海科学院上科信息技术研究所	xu_yixun@sina.com
李旺	1. 上海电力学院电气工程学院 2. 上海科学院上科信息技术研究所
张敬周	1. 上海电力学院电气工程学院 2. 上海科学院上科信息技术研究所

引用文本：
许仪勋,李旺,张敬周.基于卡尔曼滤波算法的改进测频算法[J].上海电力大学学报,2015,31(3):247-250,254.
XU Yixun,LI Wang,ZHANG Jingzhou.Improved Frequency Measurement Algorithm Based on Kalman Filter[J].Journal of Shanghai University of Electric Power,2015,31(3):247-250,254.

Author Name	Affiliation	E-mail
XU Yixun	1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China 2. Shangke Information Technology Institute, Shanghai Academy of Science & Technology, Shanghai 201210, China	xu_yixun@sina.com
LI Wang	1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China 2. Shangke Information Technology Institute, Shanghai Academy of Science & Technology, Shanghai 201210, China
ZHANG Jingzhou	1. School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China 2. Shangke Information Technology Institute, Shanghai Academy of Science & Technology, Shanghai 201210, China