A RL-based Vertical Stabilization System for the EAST tokamak
Author(s)
Date Issued
2022
Type
conferenceObject
Volume
2022-June
Start Page
5328
End Page
5333
ISSN
0743-1619
Abstract
The Vertical Stabilization (VS) is one of the most challenging control problems in tokamak fusion reactors. Existing solutions are usually tailored for the specific device. In this work, a model-free agent trained with the Q-learning algorithm is proposed as a possible alternative solution to the VS problem. The EAST tokamak is then considered as case-study to show the effectiveness of the proposed approach. The robustness of the VS agent is assessed by taking into account different plasma conditions and by including it into simulations of the overall EAST plasma control system.