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Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering

Authors :
Pasquale Arpaia
Marco Buzio
Vincenzo Di Capua
Sabrina Grassini
Marco Parvis
Mariano Pentella
Source :
Sensors, Vol 22, Iss 1, p 182 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Sensing coils are inductive sensors commonly used to measure magnetic fields, such as those generated by electromagnets used in many kinds of industrial and scientific applications. Inductive sensors rely on integrating the output voltage at the coil’s terminals in order to obtain flux linkage, which may suffer from the magnification of low-frequency noise resulting in a drifting integrated signal. This article presents a method for the cancellation of integrator drift. The method is based on a first-order linear Kalman filter combining the data from the coil and a second sensor. Two case studies are presented. In the first one, the second sensor is a Hall probe, which senses the magnetic field directly. In a second case study, the magnet’s excitation current was used instead to provide a first-order approximation of the field. Experimental tests show that both approaches can reduce the measured field drift by three orders of magnitude. The Hall probe option guarantees, in addition, one order of magnitude better absolute accuracy than by using the excitation current.

Details

Language :
English
ISSN :
14248220
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.29f0555c712d420589d44369df845a16
Document Type :
article
Full Text :
https://doi.org/10.3390/s22010182