A Triaxial Magnetometer Calibration Method With Improved Beluga Whale Optimization Algorithm

被引:0
作者
Li, Zhuoxuan [1 ]
Li, Yuguo [1 ]
Luo, Ming [1 ]
Dong, Chenxu [1 ]
Ding, Xuezhen [1 ]
机构
[1] Ocean Univ China, Coll Marine Geosci, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金;
关键词
Magnetometers; Calibration; Vectors; Magnetic sensors; Magnetic field measurement; Optimization; Sensitivity; Magnetic susceptibility; Whale optimization algorithms; Noise; Beluga whale optimization (BWO); calibration model; parameter estimation; triaxial magnetometers;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The triaxial magnetometer is a vector magnetic field sensor widely used in various fields. Due to limitations in manufacturing and installation processes, a nonorthogonal error, a scale factor error, and a zero-bias error can occur. These sensor errors significantly affect the accuracy of magnetic field measurements, so calibration is essential to ensure reliable data. This article proposes a novel error calibration method for triaxial magnetometers based on an improved Beluga Whale optimization (BWO) algorithm. In addition, three synthetic simulations, with and without noise, and with different initial search spaces and population sizes are designed to validate the proposed method. Ideally, the minimum absolute error between the calibrated and theoretical results is 10(-13) nT. Furthermore, when the calibration method is applied to the field experiment data, the total geomagnetic field fluctuation is reduced from 600 to 9 nT, which is about 66 times smaller. Both simulation and experimental results further confirm the effectiveness and practicality of the proposed algorithm.
引用
收藏
页码:9522 / 9530
页数:9
相关论文
共 18 条
[1]   Calibration of flux-gate magnetometers using relative motion [J].
Auster, HU ;
Fornacon, KH ;
Georgescu, E ;
Glassmeier, KH ;
Motschmann, U .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2002, 13 (07) :1124-1131
[2]   New methods for interpretation of magnetic vector and gradient tensor data I: eigenvector analysis and the normalised source strength [J].
Clark, David A. .
EXPLORATION GEOPHYSICS, 2012, 43 (04) :267-282
[3]   Real-time attitude-independent three-axis magnetometer calibration [J].
Crassidis, JL ;
Lai, KL ;
Harman, RR .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2005, 28 (01) :115-120
[4]   Estimating Locations and Moments of Multiple Dipole-Like Magnetic Sources From Magnetic Gradient Tensor Data Using Differential Evolution [J].
Ding, Xuezhen ;
Li, Yuguo ;
Luo, Ming ;
Chen, Jialin ;
Li, Zhuoxuan ;
Liu, Hao .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
[5]   Extension of a Two-Step Calibration Methodology to Include Nonorthogonal Sensor Axes [J].
Foster, C. C. ;
Elkaim, G. H. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2008, 44 (03) :1070-1078
[6]   Magnetometer autocalibration leveraging measurement locus constraints [J].
Gebre-Egziabher, Demoz .
JOURNAL OF AIRCRAFT, 2007, 44 (04) :1361-1368
[7]   A NEW SHIPBOARD 3-COMPONENT MAGNETOMETER [J].
ISEZAKI, N .
GEOPHYSICS, 1986, 51 (10) :1992-1998
[8]   Partition Beetles Antennae Search Algorithm for Magnetic Sensor Calibration Optimization [J].
Li, Xiangang ;
Yan, Shenggang ;
Liu, Jianguo ;
Sun, Yang ;
Yan, Youyu .
IEEE SENSORS JOURNAL, 2021, 21 (05) :5967-5974
[9]   Theories, Applications, and Expectations for Magnetic Anomaly Detection Technology: A Review [J].
Liu, Huan ;
Zhang, Xinglin ;
Dong, Haobin ;
Liu, Zheng ;
Hu, Xiangyun .
IEEE SENSORS JOURNAL, 2023, 23 (16) :17868-17882
[10]  
Luo J.G., 2019, Navig. Control, V18, P52