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A Voltage-Frequency Central Difference Kalman Filter Detection Algorithm Based on d-q Coordinate Transformation

机译:基于d-q坐标变换的频率中心差卡尔曼滤波检测算法

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摘要

It is important to track and measure the amplitude and frequency of fundamental wave in AC grid accurately and rapidly. Especially on the conditions of variety interference signal. The traditionally method of filtration by software algorithm not only complex but also with low operation speed nor calculation accuracy. In this study, a nonlinear voltage-frequency detection mathematical model based on d-q coordinate transformation is presented, the Central Difference Kalman Filter (CDKF) algorithm is applied to the detection system. The simulation results show that the CDKF algorithm features high measuring precision and the calculating speed can significantly improved without external interference.
机译:准确,快速地跟踪和测量交流电网中基波的幅度和频率非常重要。特别是在各种干扰信号的条件下。传统的软件算法过滤方法不仅复杂,而且运算速度慢,计算精度也不高。该研究提出了一种基于d-q坐标变换的非线性电压频率检测数学模型,并将中心差分卡尔曼滤波(CDKF)算法应用于检测系统。仿真结果表明,CDKF算法具有很高的测量精度,并且在没有外界干扰的情况下,可以大大提高计算速度。

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