LAPSE:2023.4884
Published Article
LAPSE:2023.4884
Online Calibration Method for Current Sensors Based on GPS
Shuang Zhao, Jun Liu, Yansong Li
February 23, 2023
At present, most sensor calibration methods are off-line calibration, which not only makes them time-consuming and laborious, but also causes considerable economic losses. Therefore, in this study, an online calibration method of current sensors is proposed to address the abovementioned issues. The principle and framework of online calibration are introduced. One of the calibration indexes is angular difference. In order to accurately verify it, data acquisition must be precisely synchronized. Therefore, a precise synchronous acquisition system based on GPS timing is proposed. The influence of ionosphere on the accuracy of GPS signal is analyzed and a new method for measuring the inherent delay of GPS receiver is proposed. The synchronous acquisition performance of the system is verified by inter-channel synchronization experiment, and the results show that the synchronization of the system is accurate. Lastly, we apply our online calibration method to the current sensor; the experimental results show that the angular difference and ratio difference meet the requirements of the national standard and the accuracy of the online calibration system can be achieved to 0.2 class, demonstrating the effectiveness of the proposed online calibration method.
Keywords
current sensor, GPS timing, online calibration, synchronous acquisition
Suggested Citation
Zhao S, Liu J, Li Y. Online Calibration Method for Current Sensors Based on GPS. (2023). LAPSE:2023.4884
Author Affiliations
Zhao S: Department of Electronic Engineering, North China Electric Power University, Beijing 102206, China
Liu J: Department of Electronic Engineering, North China Electric Power University, Beijing 102206, China
Li Y: Department of Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Journal Name
Energies
Volume
12
Issue
10
Article Number
E1923
Year
2019
Publication Date
2019-05-20
Published Version
ISSN
1996-1073
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PII: en12101923, Publication Type: Journal Article
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LAPSE:2023.4884
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doi:10.3390/en12101923
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Feb 23, 2023
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