Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak

arXiv:2312.00128v2 Announce Type: replace-cross
Abstract: Active feedback control in magnetic confinement fusion devices is desirable to mitigate plasma instabilities and enable robust operation. Optical high-speed cameras provide a powerful, non-invasive diagnostic and can be suitable for these applications. In this study, we process fast camera data, at rates exceeding 100kfps, on $\textit{in situ}$ Field Programmable Gate Array (FPGA) hardware to track magnetohydrodynamic (MHD) mode evolution and generate control signals in real-time. Our system utilizes a convolutional neural network (CNN) model …

abstract applications arxiv cameras control cs.ar cs.lg data devices diagnostic feedback fpgas fusion latency low low latency machine machine learning optical physics.ins-det physics.plasm-ph plasma process replace robust speed study tokamak tracking type