Tri-axial square Helmholtz coil system at the Alibag Magnetic Observatory: upgraded to a magnetic sensor calibration facility

Mahavarkar, Prasanna; John, Jacob; Dhapre, Vijay; Dongre, Varun; Labde, Sachin

doi:10.5194/gi-7-143-2018

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…The magnetic field around an electric current has a different profile from the magnetic field produced by a permanent magnet, depending on the electric current circuit, such as wire or geometry [7]. Therefore, math ematical formulas for magnetic fields around cur rent sources differ for each form, and it presents P a P e r Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments difficulty for students to imagine magnetic fields [8]. Another difference is that magnetic fields induced by electric currents are relatively smaller compared to magnetic fields made by permanent magnets.…”

Section: Introductionmentioning

confidence: 99%

Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments

2019

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The topic of electric and magnetic fields is fundamental to the physics curriculum in both high school and college. The applied aspect of this topic has triggered the rapid development of modern technology in this era. This paper reported a remote data acquisition system developed for experiments with magnetic fields by coils to support experimental physics learning remotely. The system used magnetic sensors, Arduino interfaces, and NI-Vernier Sensor-DAQ and LabVIEW as a data acquisition software. It was successful in testing for and measuring the distribution of magnetic fields along the axis of a circular coil. The measurement results showed experimental values in line with Biot–Savart law. The system developed is therefore useful as a learning tool that provides students with the opportunity to control instruments and conduct experiments in real-time remotely via the web. This system is also useful for overcoming the limited access to experimental devices.

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Section: Introductionmentioning

confidence: 99%

Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments

2019

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A comprehensive calibration method for non-orthogonal error and scale factor error of triaxial Helmholtz coil

Yue

Cheng

Wang

et al. 2021

Review of Scientific Instruments

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In order to calibrate the non-orthogonal error and scale factor error of triaxial Helmholtz coil, a comprehensive error calibration method is proposed in this paper. The comprehensive error model is established first, and then the method to generate a frequency-controllable spatial rotating magnetic field whose magnetic field intensity is constant based on triaxial Helmholtz coil is introduced. Based on the fact that the magnetic field intensity generated by the current through the coil is constant, the objective function is constructed and the error parameters are solved using the least-squares fitting method. Simulation experiments and field tests prove the effectiveness and feasibility of this method. The most obvious finding to emerge from this study is that the proposed method is not only suitable for the electromagnetic shielding room environment but also suitable for the field tests in the presence of a background geomagnetic field far away from urban electricity interference. The root mean square error value is reduced to 0.7 nT from 298.2 nT in the electromagnetic shielding room, and it is reduced to 0.8 nT from 299.0 nT in the wild. Compared to the two-step calibration method, the proposed method reduces the sampling time by controlling the frequency of the rotating magnetic field and reduces the influence of the changes of the background geomagnetic field on the experimental results. This method has better anti-interference ability. Because the modulus of the background geomagnetic field has no effect on this method, it gets rid of the dependence on large current or background geomagnetic field shielding devices. Comparative experiments and repetitive experiments verify the practicability and stability of this method.

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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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Tri-axial square Helmholtz coil system at the Alibag Magnetic Observatory: upgraded to a magnetic sensor calibration facility

Cited by 7 publications

References 4 publications

Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments

Arduino and LabVIEW-based remote data acquisition system for magnetic field of coils experiments

A comprehensive calibration method for non-orthogonal error and scale factor error of triaxial Helmholtz coil

Magnetometer Calibration and Missile Attitude Filtering Method Based on Energy Estimation

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