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JACIII Vol.29 No.3 pp. 583-591
doi: 10.20965/jaciii.2025.p0583
(2025)

Research Paper:

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Research on Temperature Error Calibration Method of Fluxgate Sensor

Ruiping Yang*1,*2,*3,*4 ORCID Icon, Jian Ge*1,*2,*3 ORCID Icon, Wang Luo*5,*6,† ORCID Icon, Xiangyun Hu*5,*6 ORCID Icon, Jinhua She*7 ORCID Icon, Daisuke Chugo*4 ORCID Icon, and Haobin Dong*1,*2,*3 ORCID Icon

*1School of Automation, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

*2Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

*3Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

*4School of Engineering, Kwansai Gakuin University
1 Gakuen Uegahara, Sanda, Hyogo 669-1330, Japan

*5School of Geophysics and Geomatics, China University of Geosciences
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

*6Hubei Subsurface Multi-scale Imaging Key Laboratory
No.388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

*7School of Engineering, Tokyo University of Technology
1404-1 Katakuramachi, Hachioji, Tokyo 192-0982, Japan

†Corresponding author

Received:
December 3, 2024
Accepted:
February 18, 2025
Published:
May 20, 2025
Creative Commons License
Keywords:
fluxgate sensor, temperature calibration, curve fitting, error, magnetic sensor
Abstract

The fluxgate sensor is the most widely used sensor in vector magnetic measurement. However, during long-term continuous observation, the fluxgate sensor will produce large measurement errors due to changes in ambient temperature. This paper proposes a temperature calibration method for the fluxgate sensor based on polynomial fitting to address the temperature error of fluxgate sensors. First, the effect of temperature on the performance indicators of the fluxgate sensor was analyzed. Second, according to the existing temperature-magnetic field data, a temperature calibration model of the fluxgate sensor was constructed. Compared with other temperature calibration methods, the result shows that the proposed temperature calibration method is relatively simple and can better achieve real-time calibration for sensor application scenarios. Finally, to verify the effectiveness of the proposed method, numerous laboratory experiments were implemented. The temperature drift was reduced from about 700 nT before calibration to about 1 nT, root mean square error RMSE = 11.7189, indicating that the proposed method has a good temperature calibration effect on the data measured by the fluxgate sensor within the variable temperature background.

Cite this article as:
R. Yang, J. Ge, W. Luo, X. Hu, J. She, D. Chugo, and H. Dong, “Research on Temperature Error Calibration Method of Fluxgate Sensor,” J. Adv. Comput. Intell. Intell. Inform., Vol.29 No.3, pp. 583-591, 2025.
Data files:
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Last updated on May. 19, 2025