Numerical Analysis of the Vertical Instability Stabilizing Effect of Saddle Coils in Tokamak

Naito, Shin; Suzuki, Yasuhiro; TSUTSUI, Hiroaki

doi:10.1585/pfr.17.2403069

Plasma and Fusion Research

2022

DOI: 10.1585/pfr.17.2403069

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Numerical Analysis of the Vertical Instability Stabilizing Effect of Saddle Coils in Tokamak

Shin Naito

Yasuhiro Suzuki

Hiroaki TSUTSUI

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2024

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Estimation of Plasma Vertical Position by Long-Short Term Memory Network with Time2Vec in a Small Tokamak Device PHiX

JANG,

TSUTSUI

2024

Plasma and Fusion Research

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Time evolution of plasma vertical position is estimated by using long-short term memory networks (LSTM) with Time2Vec technique which incorporates temporal information into a neural network. Since many tokamak devices have elongated cross-section in achieving high performance whereas accurate vertical position feedback control is required in order to avoid vertical displacement events (VDEs). Our data-driven model, using experimental data obtained from a small tokamak device PHiX in Tokyo Institute of Technology, can estimate the plasma vertical displacement by incorporating operational scenario coils current data. The model achieved high performance by combining Time2Vec with LSTM. We can also interpret the weights extracted from a trained, data-driven model by comparing the model's predictions. c

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Estimation of Plasma Vertical Position by Long-Short Term Memory Network with Time2Vec in a Small Tokamak Device PHiX

JANG,

TSUTSUI

2024

Plasma and Fusion Research

View full text Add to dashboard Cite

show abstract

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Numerical Analysis of the Vertical Instability Stabilizing Effect of Saddle Coils in Tokamak

Cited by 1 publication

References 14 publications

Estimation of Plasma Vertical Position by Long-Short Term Memory Network with Time2Vec in a Small Tokamak Device PHiX

Estimation of Plasma Vertical Position by Long-Short Term Memory Network with Time2Vec in a Small Tokamak Device PHiX

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