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

Perla Malago, Florian Slanovc, Stefan Herzog, Stefano Lumetti, Thomas Schaden, Andrea Pellegrinetti, Mohssen Moridi, Claas Abert, Dieter Suess, Michael Ortner

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Article number23
Pages (from-to)6873
Number of pages23
JournalSensors
Volume20
Issue number23
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • Analytical method
  • Computational magnetism
  • Magnet system design
  • Magnetic joystick
  • Magnetic position sensor systems
  • Python

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