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Conferences > DH > 2023 > HW4C > HW4C.2

Real-Time Instability Tracking with Deep Learning on FPGAs in Magnetic Confinement Fusion Devices

Ryan Forelli, Yumou Wei, Jeffrey Levesque, Chris Hansen, Nhan Tran, Giuseppe Di Guglielmo, Christian Herwig, Jonathan Eisch, and Jovan Mitrevski

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Abstract

This work enables active control and suppression of MHD instabilities in magnetic confinement fusion devices such as the Tokamak with a feedback control system using high speed cameras and deep learning on frame grabber FPGAs.

© 2023 The Author(s)

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