Real-Time Plasma Magnetic Control System
with Equilibrium Reconstruction Algorithm in the Feedback
for the Globus-M2 Tokamak

A. E. Konkov; Коньков А. Е.; P. S. Korenev; Коренев П. С.; Yu. V. Mitrishkin; Митришкин Ю. В.; I. M. Balachenkov; Балаченков И. М.; E. O. Kiselev; Киселев Е. О.

doi:10.31857/S0367292123600760

Real-Time Plasma Magnetic Control System with Equilibrium Reconstruction Algorithm in the Feedback for the Globus-M2 Tokamak

Authors: Konkov A.E.¹, Korenev P.S.¹, Mitrishkin Y.V.¹^,2, Balachenkov I.M.³, Kiselev E.O.³
Affiliations:
1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences
2. Moscow State University
3. Ioffe Institute, Russian Academy of Sciences
Issue: Vol 49, No 12 (2023)
Pages: 1348-1356
Section: TOKAMAKS
URL: https://transsyst.ru/0367-2921/article/view/668901
DOI: https://doi.org/10.31857/S0367292123600760
EDN: https://elibrary.ru/APGEWX
ID: 668901

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Abstract

To control the plasma shape during a tokamak discharge, it is necessary to calculate the plasma
shape in real-time. The rate requirements for the shape calculations are especially high for tokamaks with a
small radius, such as Globus-M2 (St. Petersburg, Russia). A real-time magnetic plasma control system for
the Globus-M2 tokamak with flux and current distribution identification (FCDI) algorithm for the plasma
equilibrium reconstruction in feedback is presented. The control system contains discrete one-dimensional
and matrix proportional-integral-derivative controllers synthesized by the matrix inequality method using
the plasma LPV model calculated on experimental data, and carries out the coordinated control of the plasma
position and shape as well as the compensation for the scattered field of the central solenoid. The FCDI algorithm
is improved for the operation in the real-time mode, and makes it possible to reconstruct the plasma
shape in 20 μs. The digital control system with a feedback algorithm was simulated on a real-time test bench,
consisting of two Speedgoat Performance Real-Time Target Machines (RTTM), and demonstrated the average
Task Execution Time (TET) value in 67 μs.

References

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