This paper presents MAGELLAN, a Python-based simulator enabling rapid modeling of AC-driven magnetic localization systems. By leveraging the analytical capabilities of Magpylib, it circumvents the heavy computational overhead of FEM-based tools. A user-friendly, web-based GUI supports customizable coil placements, environmental conditions, and noise models, along with multiple position-estimation algorithms. Experimental validation with five transmitting coils and a bi-axial receiving coil confirms reliable localization at depths up to 2 meters underground, consistent with typical robotic dimensions. Computation times remain practical at around 41.20 seconds per run. Overall, MAGELLAN operates as an efficient digital twin for versatile magnetic positioning applications.
MAGELLAN: A Python-based End-to-End Simulator for Magnetic Localization Systems Using Magpylib
Carissimo, Chiara
2025-01-01
Abstract
This paper presents MAGELLAN, a Python-based simulator enabling rapid modeling of AC-driven magnetic localization systems. By leveraging the analytical capabilities of Magpylib, it circumvents the heavy computational overhead of FEM-based tools. A user-friendly, web-based GUI supports customizable coil placements, environmental conditions, and noise models, along with multiple position-estimation algorithms. Experimental validation with five transmitting coils and a bi-axial receiving coil confirms reliable localization at depths up to 2 meters underground, consistent with typical robotic dimensions. Computation times remain practical at around 41.20 seconds per run. Overall, MAGELLAN operates as an efficient digital twin for versatile magnetic positioning applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
