Magnetic Position System Design Method Applied to Three-Axis Joystick Motion Tracking.

analytical method computational magnetism magnet system design magnetic joystick magnetic position sensor systems python

Journal

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

Informations de publication

Date de publication:
01 Dec 2020
Historique:
received: 07 11 2020
revised: 25 11 2020
accepted: 29 11 2020
entrez: 4 12 2020
pubmed: 5 12 2020
medline: 5 12 2020
Statut: epublish

Résumé

This manuscript discusses the difficulties with magnetic position and orientation (MPO) system design and proposes a general method for finding optimal layouts. The formalism introduces a system quality measure through state separation and reduces the question "How to design an MPO system?" to a global optimization problem. The latter is then solved by combining differential evolution algorithms with magnet shape variation based on analytical computations of the field. The proposed formalism is then applied to study possible realizations of continuous three-axis joystick motion tracking, realized with just a single magnet and a single 3D magnetic field sensor. The computations show that this is possible when a specific design condition is fulfilled and that large state separations as high as 1mT/∘ can be achieved under realistic conditions. Finally, a comparison to state-of-the-art design methods is drawn, computation accuracy is reviewed critically, and an experimental validation is presented.

Identifiants

pubmed: 33271829
pii: s20236873
doi: 10.3390/s20236873
pmc: PMC7729493
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : COMET K1 centre ASSIC Austrian Smart Systems Integration Research Center
ID : 865890

Références

Nat Methods. 2020 Mar;17(3):261-272
pubmed: 32015543
Sci Rep. 2018 Oct 2;8(1):14651
pubmed: 30279477
Sci Rep. 2017 Aug 25;7(1):9419
pubmed: 28842711
Science. 2020 Oct 30;370(6516):587-592
pubmed: 33122382
Sci Rep. 2017 Jan 18;7:40816
pubmed: 28098851

Auteurs

Perla Malagò (P)

Silicon Austria Labs GmbH, Sensor Systems, Europastraße 12, 9524 Villach, Austria.

Florian Slanovc (F)

University of Vienna, Physics of Functional Materials, Boltzmanngasse 5, 1090 Vienna, Austria.

Stefan Herzog (S)

ZF Friedrichshafen AG, Graf-von-Soden-Platz 1, 88046 Friedrichshafen, Germany.

Stefano Lumetti (S)

Silicon Austria Labs GmbH, Sensor Systems, Europastraße 12, 9524 Villach, Austria.

Thomas Schaden (T)

ZF Friedrichshafen AG, Graf-von-Soden-Platz 1, 88046 Friedrichshafen, Germany.

Andrea Pellegrinetti (A)

ZF Padova S.r.l., Marine and Special Driveline Technology, Via S. Andrea, 16, 38062 Arco (TN), Italy.

Mohssen Moridi (M)

Silicon Austria Labs GmbH, Sensor Systems, Europastraße 12, 9524 Villach, Austria.

Claas Abert (C)

University of Vienna, Physics of Functional Materials, Boltzmanngasse 5, 1090 Vienna, Austria.
University of Vienna Research Platform MMM Mathematics-Magnetism-Materials, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria.

Dieter Suess (D)

University of Vienna, Physics of Functional Materials, Boltzmanngasse 5, 1090 Vienna, Austria.
University of Vienna Research Platform MMM Mathematics-Magnetism-Materials, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria.

Michael Ortner (M)

Silicon Austria Labs GmbH, Sensor Systems, Europastraße 12, 9524 Villach, Austria.

Classifications MeSH