Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER

Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER

Combining dynamic models and measurements into a consistent plasma state estimate is an important challenge for ITER and DEMO, due to the inherent limitations regarding diagnostic coverage in a nuclear fusion reactor environment. In this work, a model-based estimation algorithm is proposed to improv...

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Bibliographic Details
Main Authors: S. Van Mulders, F. Felici, S.C. McIntosh, F. Carpanese, C.E. Contré, R. Coosemans, O. Kudláček, F. Pastore, S.D. Pinches, M. Reisner, O. Sauter
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
extended Kalman filter
data assimilation
ITER
integrated tokamak simulation
parameter estimation
real-time control
Online Access:https://doi.org/10.1088/1741-4326/add16e
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