TP60 - Sensor Density Optimization of Active Magnetic Shielding System based on Monte Carlo Simulation
- Event
- EUROSENSORS XXXVII
2025-09-07 - 2025-09-10
Wroclaw - Band
- Poster II
- Chapter
- Sensors for Automation and Industry
- Author(s)
- H. Wang, Y. Wu, R. Feng, B. Han, D. Chen - Beihang University, Beijing (China)
- Pages
- 475 - 476
- DOI
- 10.5162/EUROSENSORS2025/TP60
- ISBN
- 978-3-910600-07-2
- Price
- free
Abstract
Active Magnetic Shielding (AMS) systems have become a key component in ensuring near-zeromagnetic environments. However, there is still a lack of clear mechanisms for feedback sensor density,layout, and compensation effects in the region of interest (ROI). In this article, the Tikhonovregularization compensation algorithm is employed to analyse the dependency by Monte Carlosimulation. Results indicate a declining compensation error in any layout conditions as the sensordensity increases. Therefore a sensor density optimization method based on the thresholdcompensation error is proposed.
