ELM suppressed high performance fusion scenarios achieved with Feedback Adaptive RMP ELM Control
ORAL
Abstract
We designed a Feedback Adaptive RMP ELM Controller [1] which, based on the detected ELM activity, changes the RMP such that ELM suppression is achieved. When applied to KSTAR, the controller was successful at obtaining, sustaining and optimizing ELM suppression where up to 60% [2] of the confinement degradation was recovered in feedback.
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).
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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Publication: [1] R. Shousha et al., Phys. Plasmas, 29, 032514 (2022).
[2] S. K. Kim et al., Nucl. Fusion, 62, 026043 (2022).
Presenters
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Ricardo Shousha
- Princeton University