RESEARCH JOURNAL OF PURE SCIENCE AND TECHNOLOGY (RJPST )
E-ISSN 2579-0536
P-ISSN 2695-2696
VOL. 8 NO. 4 2025
DOI: 10.56201/rjpst.vol.8.no4.2025.pg9.26
Okunola, I.O., Agbi J.I., Effiong, E.E., Oluborode, G.B.
The design of hybrid magnetometers is typically a nonlinear multi-objective optimization problem. Sometimes, an optimal magnetometer performance is difficult to achieve due to low sensitivity sensors which decrease with an increase in noise level while trying to reduce the sensor dimension. Moreover, these approaches are too difficult, slow, time consuming, expensive, and do not produce optimal magnetometer performance. As a result, little attempt has been made to develop hybrid magnetometer sensor. Thus far, no existing magnetometer device has incorporated two sensors, combined in a single unit device that can measure earth's magnetic ?elds in three co-ordinates direction simultaneously. This observed situation prompted the development of a locally made hybrid magnetometer device that can determine magnetic field in 3-dimensional X, Y and Z coordinates variation of the earth and total magnetic field. The developed magnetometer device consisted HMC5883 and proton precession sensors combined in a single unit that determined magnetic field of X, Y and Z axis simultaneously. The data logger was wired and hand-assembled utilizing a factory-built-in HMC5883 and Proton Procession sensors combined with Arduino Uno328 micro-controller, which contains ADC, real time clock, data storage, voltage regulator (ICLM7805) and kerosene. The device detects the X, Y and Z co- ordinates of the magnetic field in analog form. The data were digitized using analog-to-digital- converter (ADC) which were processed by micro-controller and later displayed through liquid crystal display (LCD) screen. The data were also automatically saved in an SD card in Excel format. The measurements variations of the earth residual magnetic field were taken spatially, giving a minimum value of 363.1172nT for the magneto resistive magnetometer, 357.205nT for proton precession magnetometer and 361.708nT for the geometric smart magnetometer; and giving a maximum value of
Micro-controller, magnetometer, magnetic field, magneto-resistive sensor, geometric smart magnetometer.
Ali, A.S., Siddharth, S., Syed, Z., and El-Sheimy, N. (2012). Swarm optimization-based
magnetometer calibration for personal handheld devices. Sensors, 12/12455-12472..
Campbell, W. H. (2015), Introduction to geomagnetic fields (2nd). New York, Cambridge
University Press.
Coillot, C.,Moutoussamy, J., Chanteur. G., Robert. P., & Alves. F. (2013). On-board hybrid
Magnetometer of NASA CHARM-II rocket: principle, design and performances.
Journal of Sensors and Sensors System, 2/137–145
David, C., Marina, D., M., Lucas., P. & Claudio, A. (2013). Small fluxgate magnetometers:
Development and future trends in Spain. Sensors, 10/1859–1870.
Gordon, D.I., and Brown, R.E. (2015). Recent advances in fluxgate Magnetometry. IEEE
Transactions on Magnetics, 8/76–82.
Grosz, A., and Paperno, E. (2012). Analytical optimization of low frequency search coil
Magnetometers. IEEE Sensors Journal, 12(8)/2719-2723.
Korepanov, V., and Marusenkov, A., (2017). Flux-gate magnetometers design peculiarities.
Survey Geophysics, 33/1079.
Matsuoka, A., Shinohara, M., Tanaka, Y.M., Fujimoto, A., and Iguchi, K. (2017). Development
of Fluxgate magnetometers and applications to the space science missions. An
introduction to space instrumentation, Edited by Oyama K and Cheng Z. 217-225.
Thomson, W., (2010) On the Electro-Dynamic Qualities of Metals-Effects of Magnetization on
the Electric Conductivity of Nickel and of Iron. Proc. R. Soc. Lond. 1856, 8, 546–550.