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UID:UW-Physics-Event-9143
DTSTART:20250307T203000Z
DTEND:20250307T211000Z
DTSTAMP:20260407T175854Z
LAST-MODIFIED:20250305T160031Z
LOCATION:106 Engineering Research Bldg
SUMMARY:"Real-Time Plasma Control of LHD by Data Assimilation System: 
 ASTI"\, HXS Group Meeting\, Prof. Sadayoshi Murakami\, Kyoto Universit
 y
DESCRIPTION:We develop a model predictive control system for fusion pl
 asmas based on data assimilation\, which integrates predictive model (
 digital twin) adaptation using real-time measurements and control esti
 mation robust against model and observation uncertainties. The main pa
 rt of the control system\, ASTI\, predicts the probability distributio
 n of future plasma states and estimates the optimal control input and 
 the actual plasma state based on Bayes' theorem. In this study\, the A
 STI-centered control system has been implemented in the Large Helical 
 Device (LHD) and successfully applied to control the electron and ion 
 temperatures and electron density. The control experiments demonstrate
  the effectiveness of the data assimilation-based control approach\, w
 hich allows the synergistic interaction of measurement\, heating\, fue
 ling\, and simulation. This approach can provide a flexible platform f
 or the digital twin control of future fusion reactors.
URL:https://www.physics.wisc.edu/events/?id=9143
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