Data fusion approach to evaluation of magnetic data from coils and Hall sensors using Kalman filtering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61389021%3A_____%2F24%3A00617279" target="_blank" >RIV/61389021:_____/24:00617279 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Data fusion approach to evaluation of magnetic data from coils and Hall sensors using Kalman filtering
Original language description
Magnetic diagnostics is essential for determination of crucial parameters of tokamak plasmas such as plasma position and its shape. The main method of measuring magnetic field during tokamak discharges employs inductive sensors such as pick-up coils. Whilethese are fully sufficient for operation of tokamaks with relatively short pulses and limited radiation loads, they must be supplemented by true steady state magnetic field sensors such as Hall sensors for fusion reactor class devices with long pulse lengths and high radiation environment. Considering the ability of Hall sensors to measure DC and low frequency magnetic field and the superiority of inductive sensors at higher frequencies, it is natural to search for a synergy between these two magnetic field measurement methods.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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