Data fusion of magnetic coils and Hall sensors using Kalman filtering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F25%3A43978441" target="_blank" >RIV/49777513:23220/25:43978441 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:10501541
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0920379625003771?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0920379625003771?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.fusengdes.2025.115180" target="_blank" >10.1016/j.fusengdes.2025.115180</a>

Result language
angličtina
Original language name
Data fusion of magnetic coils and Hall sensors using Kalman filtering
Original language description
Considering the broad bandwidth of magnetic coils from lower frequencies up to 10 s – 100 s of kHz and the narrow bandwidth of the Hall sensors from DC to low frequencies of the order of 10 s of Hz, an algorithm based on the Kalman filter combining the signals from both types of sensors to accurately estimate the measured magnetic field in tokamak plasma discharges is proposed. The data fusion algorithm utilizing the Kalman filter is described mathematically and validated using experimental data.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering

Project
<a href="/en/project/TK03030070" target="_blank" >TK03030070: MAgnetic Sensors for Thermonuclear Energy Reactors (MASTER)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)