Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Research on Frequency Correction Method of Broadband AC RMS Converter

Authors
Wu Zhu, Bingyao Liu, Jiamin Zhang
Corresponding Author
Wu Zhu
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.90How to use a DOI?
Keywords
True RMS Converter; Error Correction; Piecewise Linear Fitting; Least Square Method
Abstract
In order to reduce the nonlinear error, a new method of nonlinear error correction in a wide frequency range is presented. In this method, firstly, the frequency of the measurement signal is divided into three bands. In each frequency band, linear fitting is used to pretreat the difference between the measured value and the output value of the standard source, and then the pretreatment is calibrated by using least square method in the whole frequency range .The correction results show that when the measured signal frequency is changed between 50Hz and 30kHz. After the frequency correction, the linearity of the measurement can reach 0.018%. The correction effect of this method is better than the traditional least square method and the measurement accuracy of the broad band signal is improved.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.90How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wu Zhu
AU  - Bingyao Liu
AU  - Jiamin Zhang
PY  - 2016/10
DA  - 2016/10
TI  - Research on Frequency Correction Method of Broadband AC RMS Converter
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 702
EP  - 710
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.90
DO  - https://doi.org/10.2991/ceie-16.2017.90
ID  - Zhu2016/10
ER  -