基于卡尔曼滤波算法的改进测频算法  

Improved Frequency Measurement Algorithm Based on Kalman Filter

作　　者：许仪勋[1] 李旺[1] 张敬周[2] 

机构地区：[1]上海电力学院电气工程学院,上海200090 [2]上海科学院上科信息技术研究所,上海201210

出　　处：《上海电力学院学报》2015年第3期247-250,254,共5页Journal of Shanghai University of Electric Power

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.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.

关 键 词：频率测量 线性插值 过零点法 卡尔曼滤波器 

分 类 号：TM935.1[电气工程—电力电子与电力传动]