The plasma shape control system in the tokamak with the artificial neural network as a plasma equilibrium reconstruction algorithm

The problem of accurate and reliable plasma shape control is significant, both for modern operating tokamaks, for example for the Globus-M/M2 spherical tokamak, and for future thermonuclear tokamak-reactors using magnetic plasma confinement. The article presents the new results of design and modelin...

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Bibliographic Details
Published in:IFAC-PapersOnLine 2020, Vol.53 (2), p.857-862
Main Authors: Prokhorov, Artem A., Mitrishkin, Yuri V., Korenev, Pavel S., Patrov, Mikhail I.
Format: Article
Language:English
Subjects:
Artificial neural networks
Plasma equilibrium reconstruction
Plasma shape control
Quantitative Feedback Theory
Robust control
Tokamak Plasma Magnetic Evolution Code
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Summary:The problem of accurate and reliable plasma shape control is significant, both for modern operating tokamaks, for example for the Globus-M/M2 spherical tokamak, and for future thermonuclear tokamak-reactors using magnetic plasma confinement. The article presents the new results of design and modeling the plasma shape control system for the Globus-M/M2 tokamak with the pre-trained artificial neural network as a plasma equilibrium reconstruction algorithm, which is included in the feedback of the control system. To collect the necessary data for training the artificial neural network and to model the plasma control system the developed magnetic plasma evolutionary code was used.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2020.12.843