Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session JO03: KSTAR Tokamak
2:00 PM–4:48 PM,
Tuesday, October 18, 2022
Room: Ballroom 100 C
Chair: Rajesh Maingi, PPPL
Abstract: JO03.00007 : ELM suppressed high performance fusion scenarios achieved with Feedback Adaptive RMP ELM Control*
3:12 PM–3:24 PM
Presenter:
Ricardo Shousha
(Princeton University)
Authors:
Ricardo Shousha
(Princeton University)
SangKyeun Kim
(Princeton University)
Keith Erickson
(Princeton Plasma Physics Laboratory)
Jong-Kyu Park
(Princeton Plasma Physics Laboratory)
SeongMoo Yang
(Princeton Plasma Physics Laboratory)
Minwoo Kim
(Korean Intitute of Fusion Energy)
Giwook Shin
(Korea Institute of Fusion Energy)
Sang-hee Hahn
(Korea Institute of Fusion Energy)
Gunyoung Park
(Korea Institute of Fusion Energy)
YoungMu Jeon
(Korea Institute of Fusion Energy)
Nikolas C Logan
(Lawrence Livermore Natl Lab)
Egemen Kolemen
(Princeton University)
Collaboration:
KSTAR Team
To eliminate all ELMs, additional capabilities are added, such as ELM suppression-loss precursor detection using Dα-emission. When the detector detects a precursor, an RMP pulse is applied. This mechanism demonstrated its ability to prevent imminent ELMs. As observed, the optimized RMP will change during long pulses because of plasma evolution. Since detailed models are too computationally expensive in real-time, an ML algorithm has been developed that determines the optimized spectrum in real-time. This could allow the controller to adjust significantly during long pulses, in a way where it sustains ELM suppression throughout.
[1] R. Shousha et al., Phys. Plasmas, 29, 032514 (2022).
[2] S. K. Kim et al., Nucl. Fusion, 62, 026043 (2022).
*This work was supported by US DOE Contract DE-SC0020372 and by Korean Ministry of Science and ICT under KFE R&D Programs of “KSTAR Experimental Collaboration and Fusion Plasma Research (KFE-EN2201-13)”
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