基于样本均方根的测量方法中减小均方根测量误差的方法

A. Serov
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引用次数: 0

摘要

目前,最常用的均方根测量方法是对样本的平方进行平均。该方法精度高,易于在现代微电路上实现。该测量方法的主要缺点是信号频率偏差对测量误差的影响较大。现有的减少频率偏差影响的方法都需要额外的测量,这使得总体实现变得复杂。本文提出了一种基于测量误差补偿的方法,即对输入信号的不同初始相位确定多个有效值。该方法对现代电网信号所要求的平稳信号或参数变化较慢的信号(与测量时间相比)具有较高的效率。在本文中,得到了可以估计应用该方法时的均方根测量误差的解析表达式。考虑了提供相移的数字方法。分析了相移偏差对均方根测量误差的影响。利用Simulink软件包,建立了RMS测量传感器的仿真模型,实现了所提出的测量方法。仿真建模结果与分析表达式在检查点的结果吻合,证实了解析表达式的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach of Reducing the RMS Measurement Error for the Measurement Method Based on Averaging of the Squares of Samples
At present, the most popular method of the RMS measurement is based on averaging of the squares of samples. This method is highly accurate and easy to implement on a modern microcircuits. The main disadvantage of this measurement method is the significant influence of the signal frequency deviation on the measurement error. Existing methods to reduce the effect of frequency deviation assume its additional measurement, which complicates the overall implementation. This paper proposes an approach based on compensation of the measurement error by determining several RMS measurements for different initial phase of the input signal. The proposed method shows high efficiency for stationary signals or signals with a slow parameters change (in comparison with the measurement time), which is specify by modern power grid signals. In this paper, analytical expressions are obtained that allows to estimate the RMS measurement error when applying the proposed approach. Digital methods of providing a phase shift are considered. The analysis of the influence of the phase shift deviation on the RMS measurement error is carried out. By application of the Simulink software package, a simulation model of the RMS measurement transducer, which implements the proposed measurement method, has been proposed. The reliability of the obtained analytical expressions is confirmed by the coincidence of the simulation modeling results and analytical expressions results at check points.
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