Novel Method of Offset Voltage Minimization in Hall-Effect Sensor

• Authors: O. Petruk , M. Kachniarz , R. Szewczyk
• Languages of publication: EN

Abstracts

EN

The paper presents numerical model and validation of new methodology of offset voltage minimization in the Hall-effect sensors. Model of the Hall-effect sensor with multiple electric pins was developed. Mathematical equations used for calculation of electric potential difference were formulated. Simulations were carried out using finite elements method in ELMER FEM software. Performed investigation of actual parameters of newly designed Hall-effect sensor confirms effectiveness of the described method.

Keywords

EN

07.55.Ge; 85.75.Ss; 85.30.Fg; 02.70.Dh

Discipline

• 07.55.Ge: Magnetometers for magnetic field measurements
• 02.70.Dh: Finite-element and Galerkin methods
• 85.30.Fg: Bulk semiconductor and conductivity oscillation devices (including Hall effect devices, space-charge-limited devices, and Gunn effect devices)
• 85.75.Ss: Magnetic field sensors using spin polarized transport

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2017
• Volume: 131
• Issue: 4
• Pages: 1177-1179

Dates

published

2017-04

Contributors

author

O. Petruk

• Industrial Research Institute for Automation and Measurements, Al. Jerozolimskie 202, 02-486 Warsaw, Poland

author

M. Kachniarz

• Industrial Research Institute for Automation and Measurements, Al. Jerozolimskie 202, 02-486 Warsaw, Poland

author

R. Szewczyk

• Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, sw. A. Boboli 8, 02-525 Warsaw, Poland

References

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• [2] E. Ramsden, Hall-Effect Sensor: Theory and Application, Newnes, Oxford 2006
• [3] C. Liu, J.G. Liu, in: Proc. IEEE Int. Workshop on Applied Measurements for Power System, 2014, doi: 10.1109/AMPS.2014.6947705
• [4] Z.L. Warsza, J. Automat. Mobile Robot. Intellig. Syst. 4, 8 (2010)
• [5] R. Szewczyk, J. Salach, J. Ruokolainen, P. Råback, K. Stefko, M. Nowicki, in: Advances in Intelligent Systems and Computing, Vol. 352, Eds. R. Szewczyk, C. Zieliński, M. Kaliczyńska, Springer, Berlin 2015, p. 219, doi: 10.1007/978-3-319-15835-8
• [6] P. Råback, M. Malinen, J. Ruokolainen, A. Pursula, T. Zwinger, Elmer Models Manual, CSC - IT Centre for Science, Espoo (Finland) 2016
• [7] M. Kachniarz, O. Petruk, R. Szewczyk, in: Advances in Intelligent Systems and Computing, Vol. 440, Eds. R. Szewczyk, C. Zieliński, M. Kaliczyńska, Springer, Berlin 2016, p. 763, doi: 10.1007/978-3-319-29357-8

Identifiers

DOI

10.12693/APhysPolA.131.1177