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

Hall probe Kalman filtering drift-free integration integration drift magnetic measurements magnets sensing coils sensor fusion

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
28 Dec 2021
Historique:
received: 30 11 2021
revised: 15 12 2021
accepted: 23 12 2021
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 12 1 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35009722
pii: s22010182
doi: 10.3390/s22010182
pmc: PMC8749566
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Pasquale Arpaia (P)

Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80100 Naples, Italy.

Marco Buzio (M)

Technology Department, European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland.

Vincenzo Di Capua (V)

Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80100 Naples, Italy.
Technology Department, European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland.

Sabrina Grassini (S)

Department of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, Italy.

Marco Parvis (M)

Department of Electronics and Telecommunications, Polytechnic of Turin, 10129 Turin, Italy.

Mariano Pentella (M)

Technology Department, European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland.
Department of Applied Science and Technology, Polytechnic of Turin, 10129 Turin, Italy.

Classifications MeSH