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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8749566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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