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9–12 Sept 2025
Fudan University, Shanghai, China
Europe/Vienna timezone

Imitation Learning-Based Feedforward Current Optimization for Tokamak Plasma Control

10 Sept 2025, 17:30
15m
Auditorium Hall HGX 102 (Guanghua Twin Tower) (Fudan University, Shanghai, China)

Auditorium Hall HGX 102 (Guanghua Twin Tower)

Fudan University, Shanghai, China

220 Handan Road, Yangpu District, Shanghai, China 邯郸路 220 号 复旦大学
Oral (Short) Next Fusion Device Concepts: Data Challenges and Design Optimization Data Analysis for Feedback Control

Speaker

Jingjing Lu

Description

Accurate real-time control of plasma equilibrium is critical for stable tokamak operation. This study proposes a novel imitation learning framework to predict optimal feedforward currents for poloidal field (PF) coils based on plasma state observations. The model ingests high-dimensional state vectors including plasma boundary coordinates, plasma current centroid positions, and total plasma current. Through DTW-based discharge selection and behavioral cloning of expert trajectories, the neural network directly maps states to 12-dimensional PF coil currents.

Experimental validation on EAST tokamak data is currently underway, with preliminary simulations indicating the potential to achieve >92% trajectory tracking accuracy in reconstructing expert PF current sequences, computational latency below 2 ms per inference, and enhanced robustness to plasma perturbations through DTW-curated training data. This work pioneers the integration of imitation learning into magnetic confinement fusion control systems, establishing a scalable framework for adaptive feedforward compensation that could significantly improve discharge stability in next-step devices such as ITER.

Keywords:
Imitation learning, Plasma control, Feedforward prediction, Dynamic Time Warping (DTW)

Speaker's email address jingjing.lu@ipp.ac.cn
Speaker's Affiliation Institute of Plasma Physics, Chinese Academy of Sciences
Member State or International Organizations China

Author

Co-authors

Dr Chenguang Wan (Nanyang Technological University) Youwen Sun (Institute of Plasma Physics, Chinese Academy of Scienses) Zhi Yu

Presentation materials

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