Magnetic Calibration System With Interference Compensation

Janošek, Michal; Dressler, Michal; Petrucha, Vojtech; Chirtsov, Andrey

doi:10.1109/tmag.2018.2874169

Cited by 7 publications

(2 citation statements)

References 17 publications

(18 reference statements)

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“…In 2019, Ali et al proposed a sensor error correction method using a uniaxial Helmholtz coil and combining least squares with BP neural networks.The uniaxial Helmholtz coil is used to generate a reference magnetic field, the errors such as accuracy and nonorthogonality of the sensor are corrected, and the effect of noise on the measurement results is compensated [10]. In the same year, Janosek et al proposed a calibration method for DC precision magnetic sensors with interference compensation in a weak magnetic environment, which improved the environmental adaptability of the sensors and achieved good calibration results in a laboratory environment with significant magnetic interference [11]. In 2020, Pan et al proposed a method to correct sensor errors using a magnetically shielded chamber and a triaxial Helmholtz coil, which was achieved by modeling sensor errors as well as environmental noise, using a magnetically shielded chamber to provide a near-zero magnetic environment, and using a triaxial coil to provide a controlled vector magnetic field [12].…”

Section: Introductionmentioning

confidence: 99%

Design of A Three-axis Helmholtz Coil for Magnetic Sensor Calibration

Zhang¹,

Li²

2023

AJST

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Accurate measurement of magnetic sensor components is always an important issue in magnetic field applications, but there are unavoidable errors in the sensor system that need to be corrected before use. The common scalar correction method is difficult to effectively correct the sensor component because it requires a uniform and stable background magnetic field and depends on the magnetic field modulus. Therefore, a set of triaxial Helmholtz coils that can be used for sensor vector correction is designed to generate a controlled standard magnetic field. The design index of the coils, the size of the uniform zone, and the relationship between the magnetic field and the current were analyzed to provide a basis for the effective calibration of the sensor components. The measurement results show that the size of the uniform zone and the accuracy of the magnetic field of the coils designed in this paper meet the design requirements. Meanwhile, by using the coils in the calibration of the sensor array and the positioning of the magnetic target, the sensor error is reduced by three orders of magnitude, and the positioning accuracy of the magnetic target reaches 0.1 m with good practical effect.

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Section: Introductionmentioning

confidence: 99%

Design of A Three-axis Helmholtz Coil for Magnetic Sensor Calibration

Zhang¹,

Li²

2023

AJST

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“…With the application of the magnetometers as the attitude sensors, many calibration and estimation algorithms have been proposed to improve the accuracy of the magnetometers [15], [16], [17]. However, in order to estimate the attitude of ammunition, the real-time capability of the calculation and the time variability of the error must be fully considered, and the calculation cost should be as low as possible.…”

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confidence: 99%

Magnetometer Calibration and Missile Attitude Filtering Method Based on Energy Estimation

Yan

Dunzhuo²,

Zhao³

et al. 2022

IEEE Access

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Estimating the flying attitude of the missile body during flight is vitally important for the intelligent ammunition. The earlier and more accurate the posture information is obtained, the more conducive it is to the control process of the intelligent ammunition. The magnetometer is commonly used to measure the roll attitude of the missile. However, the cumbersome calibration steps and noise interference of the missile usually cause the delay in the attitude calculation and inaccurate measurement. To solve these issues, an adaptive reconfigurable unscented Kalman filter (ARUKF) method based on energy estimation is proposed. The magnetic field measured by the magnetometer is analyzed in real time based on the roll characteristic of the intelligent ammunition to achieve the initial calibration of the magnetometer parameters. With the obtained calibrated parameters, the filter state variables are estimated by establishing the residual estimation function in the UKF, which guides the reconstruction of the UKF to minimize the computational cost of the attitude estimation process. Simultaneously, the on-board computer system feeds back the action of the rudder system in real time to guide the configuration of the noise parameters in the UKF process, which can effectively reduce the interference of the magnetic field generated by the rudder system on the attitude estimation. The numerical simulation and experiments show that the proposed method performs better in terms of parameter convergence speed and estimation accuracy, compared with the traditional UKF method, which has great application prospect in the field of intelligent ammunition.

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Magnetic and microstructural properties of thin film Fe-Sb obtained by thermal evaporation of nanostructured milled powder

Hafs,

Berdjane

et al. 2024

Int J Adv Manuf Technol

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Magnetic Calibration System With Interference Compensation

Cited by 7 publications

References 17 publications

Design of A Three-axis Helmholtz Coil for Magnetic Sensor Calibration

Design of A Three-axis Helmholtz Coil for Magnetic Sensor Calibration

Magnetometer Calibration and Missile Attitude Filtering Method Based on Energy Estimation

Magnetic and microstructural properties of thin film Fe-Sb obtained by thermal evaporation of nanostructured milled powder

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