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

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, whic...

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Autores principales: Arpaia, Pasquale, Buzio, Marco, Di Capua, Vincenzo, Grassini, Sabrina, Parvis, Marco, Pentella, Mariano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749566/
https://www.ncbi.nlm.nih.gov/pubmed/35009722
http://dx.doi.org/10.3390/s22010182
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author Arpaia, Pasquale
Buzio, Marco
Di Capua, Vincenzo
Grassini, Sabrina
Parvis, Marco
Pentella, Mariano
author_facet Arpaia, Pasquale
Buzio, Marco
Di Capua, Vincenzo
Grassini, Sabrina
Parvis, Marco
Pentella, Mariano
author_sort Arpaia, Pasquale
collection PubMed
description 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.
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spelling pubmed-87495662022-01-12 Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering Arpaia, Pasquale Buzio, Marco Di Capua, Vincenzo Grassini, Sabrina Parvis, Marco Pentella, Mariano Sensors (Basel) Article 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. MDPI 2021-12-28 /pmc/articles/PMC8749566/ /pubmed/35009722 http://dx.doi.org/10.3390/s22010182 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Arpaia, Pasquale
Buzio, Marco
Di Capua, Vincenzo
Grassini, Sabrina
Parvis, Marco
Pentella, Mariano
Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title_full Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title_fullStr Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title_full_unstemmed Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title_short Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering
title_sort drift-free integration in inductive magnetic field measurements achieved by kalman filtering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749566/
https://www.ncbi.nlm.nih.gov/pubmed/35009722
http://dx.doi.org/10.3390/s22010182
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