A Calibration Method for the Misalignment Error Between Inertial Navigation System and Tri-Axial Magnetometer in Three-Component Magnetic Measurement System

Gao, Quanming; Cheng, Defu; Wang, Yi; Li, Supeng; Zhao, Jiyong

doi:10.1109/jsen.2019.2938297

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…This method needs to rotate the system via a planar positioning device several times; thus, the calibration accuracy will be affected by the rotation plane [19]. Gao proposed a method to calibrate the misalignment error by constructing data plane normal vectors [20]. The problem with this method is that when the accuracy of the turntable is insufficient, the calibration accuracy will decrease.…”

Section: Introductionmentioning

confidence: 99%

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Cheng

Wang

et al. 2023

Meas. Sci. Technol.

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The strapdown magnetic vector measurement system which can obtain the magnetic vector field and the attitude information simultaneously has widely applied in geophysical prospecting. A high-performance calibration of systematic errors including magnetometer error and misalignment error is essential for this system. The traditional methods calibrate these two errors separately, having the problems of cumbersome steps and be dependent on special data acquisition ways such as rotation, rolling-over, incline, etc. An original method combining plane compression with ellipsoid fitting is proposed in this paper, which can simultaneously complete the calibration calculation of magnetometer error and misalignment error by one experiment. It can be done using a set of attitude-independent spatial scatter point data and no additional mechanical equipment is required. The mathematical analysis of this method has been done to study the elements decreasing the measurement accuracy of the system, and numerical simulation and field experiments are performed to validate the above analysis. The results indicate that the method can do contribution to the accuracy improvement of magnetic vector measurement system.

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Section: Introductionmentioning

confidence: 99%

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Cheng

Wang

et al. 2023

Meas. Sci. Technol.

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Underwater magnetic field measurement error compensation based on improved mayfly algorithm

LIU²,

LI³

2022

JNWPU

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This paper investigates the magnetic filed interference problem when the ROV equipped with a three-axis magnetometer measures the magnetic field of underwater magnetic targets within a short range, and a magnetic field compensation method based on an improved mayfly algorithm is proposed to improve the measurement accuracy of underwater magnetic field information. Firstly, a compensation model is established based on the installation error of the three-axis magnetometer and the interference magnetic field of the ROV. Then, in view of the problem that the original mayfly algorithm is easy to fall into local optimal and the convergence accuracy is poor, the Tent chaotic sequence and the Levy flight mutation strategy are introduced to improve the original mayfly algorithm. Finally, a series of magnetic field information is obtained through the three-axis magnetometer, and the original mayfly algorithm, particle swarm algorithm and improved mayfly algorithm are used to estimate the compensation parameters. The experimental results show that the improved mayfly algorithm has obtained faster convergence speed and higher compensation accuracy than others.

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The Quaternion-Based Attitude Error for the Nonlinear Error Model of the INS

Zhu

Liu

et al. 2021

IEEE Sensors J.

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A Calibration Method for the Misalignment Error Between Inertial Navigation System and Tri-Axial Magnetometer in Three-Component Magnetic Measurement System

Cited by 6 publications

References 16 publications

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Calibration of strapdown magnetic vector measurement systems based on a plane compression method

Underwater magnetic field measurement error compensation based on improved mayfly algorithm

The Quaternion-Based Attitude Error for the Nonlinear Error Model of the INS

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