P39 - Real-time Characterization of Inductive Position Sensors
- Event
- SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg - Band
- Poster
- Chapter
- Poster
- Author(s)
- R. Specogna, F. Campagna, A. Hoxha - University of Udine, Udine (Italy)
- Pages
- 356 - 357
- DOI
- 10.5162/SMSI2023/P39
- ISBN
- 978-3-9819376-8-8
- Price
- free
Abstract
We propose a fast method to characterize inductive position sensors with zero physical prototypes. The technique is based on an in-house developed electromagnetic simulation tool which shows three orders of magnitude improvement with respect to the most widely used commercial software. This simulation software is used for producing synthetic data for training a machine learning surrogate model based on a neural network. In this way the characterization of a sensor takes just milliseconds.