Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/48753
Title: A RL-based Vertical Stabilization System for the EAST tokamak
Authors: De Tommasi, G.
Dubbioso, S.
Huang, Y.
Luo, Z. P.
Mele, Adriano 
Xiao, B. J.
Journal: PROCEEDINGS OF THE AMERICAN CONTROL CONFERENCE 
Issue Date: 2022
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.
URI: http://hdl.handle.net/2067/48753
ISBN: 9781665451963
DOI: 10.23919/ACC53348.2022.9867499
Appears in Collections:D1. Contributo in Atti di convegno

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