Work

NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer

Year: 2025

Type: article

Abstract: In the discharge experiments of the HL-2A Tokamak device, plasma position prediction plays a crucial role in aspects such as the closed - loop control of HL-2A and verifying the correctness of the plasma controller design. In previous studies, methods based on traditional equations and LSTM have made significant progress in plasma position prediction. However, plasma position prediction is of extremely high complexity, and these methods have difficulty in achieving further improvement on this issue. To address the problem that the performance of traditional methods is hard to enhance further, we propose a Non - Stationary - Gated Linear Unit Transformer (NSGT) model integrating multi - source data processing. In this model, we select data from historical discharge experiments as the input of the NSGT model, and use the improved Transformer structure to model the global features of the multi - source fused data. The experimental results show that the NSGT model has a significant reduction in the root - mean - square error of prediction compared with the LSTM method, effectively supporting the real - time adjustment of the closed - loop control system. This method not only improves the prediction accuracy but also provides important technical support for achieving more stable and safe operation of the Tokamak device.

Source: IEEE Access

DOI: 10.1109/access.2025.3557039

Authors: Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

Institutions: Chengdu University of Technology, The Engineering & Technical College of Chengdu University of Technology

Language: English

Topic: Magnetic confinement fusion research

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,075