Abstract
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.
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