利用数据驱动优化对 DECAF 中的多装置托卡马克等离子体进行垂直不稳定性预测和可控性评估

IF 2.1 2区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS Plasma Physics and Controlled Fusion Pub Date : 2024-09-10 DOI:10.1088/1361-6587/ad7531
M Tobin, S A Sabbagh, V Zamkovska, J D Riquezes, J Butt, G Cunningham, L Kogan, J Measures, S Blackmore, C Ham, J Harrison, J W Berkery, S Gerhardt, J G Bak, J Lee, S W Yoon and the MAST Upgrade Team
{"title":"利用数据驱动优化对 DECAF 中的多装置托卡马克等离子体进行垂直不稳定性预测和可控性评估","authors":"M Tobin, S A Sabbagh, V Zamkovska, J D Riquezes, J Butt, G Cunningham, L Kogan, J Measures, S Blackmore, C Ham, J Harrison, J W Berkery, S Gerhardt, J G Bak, J Lee, S W Yoon and the MAST Upgrade Team","doi":"10.1088/1361-6587/ad7531","DOIUrl":null,"url":null,"abstract":"Reliable vertical position control will be an essential element of any future tokamak-based fusion power plant in order to reduce disruptions and maximize performance. We investigate methods to improve vertical controllability boundary determination in plasma operational space and demonstrate a data-driven approach based on direct pseudoinversion of operational space data that is rigorously quantitative, applicable in real-time plasma control systems, and physically intuitive to interpret. Applied to historical shot data from entire run campaigns on the MAST-U, KSTAR, and NSTX tokamaks, this approach, implemented in DECAF, improves vertical displacement event identification accuracy to 98.9%–100%. Further, we explore the application of a physics-based vertical stability metric as an early warning forecaster for vertical displacement events. The development of a linear surrogate model for the plasma current density profile, with a coefficient of determination of 0.992 on the training dataset, enables potential employment of this forecaster in real-time. The application of this approach on historical data from the MAST-U MU02 campaign yields a forecaster with 62.6% accuracy, indicating promise for this method when further refined and potentially coupled with other stability metrics.","PeriodicalId":20239,"journal":{"name":"Plasma Physics and Controlled Fusion","volume":"145 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vertical instability forecasting and controllability assessment of multi-device tokamak plasmas in DECAF with data-driven optimization\",\"authors\":\"M Tobin, S A Sabbagh, V Zamkovska, J D Riquezes, J Butt, G Cunningham, L Kogan, J Measures, S Blackmore, C Ham, J Harrison, J W Berkery, S Gerhardt, J G Bak, J Lee, S W Yoon and the MAST Upgrade Team\",\"doi\":\"10.1088/1361-6587/ad7531\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliable vertical position control will be an essential element of any future tokamak-based fusion power plant in order to reduce disruptions and maximize performance. We investigate methods to improve vertical controllability boundary determination in plasma operational space and demonstrate a data-driven approach based on direct pseudoinversion of operational space data that is rigorously quantitative, applicable in real-time plasma control systems, and physically intuitive to interpret. Applied to historical shot data from entire run campaigns on the MAST-U, KSTAR, and NSTX tokamaks, this approach, implemented in DECAF, improves vertical displacement event identification accuracy to 98.9%–100%. Further, we explore the application of a physics-based vertical stability metric as an early warning forecaster for vertical displacement events. The development of a linear surrogate model for the plasma current density profile, with a coefficient of determination of 0.992 on the training dataset, enables potential employment of this forecaster in real-time. The application of this approach on historical data from the MAST-U MU02 campaign yields a forecaster with 62.6% accuracy, indicating promise for this method when further refined and potentially coupled with other stability metrics.\",\"PeriodicalId\":20239,\"journal\":{\"name\":\"Plasma Physics and Controlled Fusion\",\"volume\":\"145 1\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plasma Physics and Controlled Fusion\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6587/ad7531\",\"RegionNum\":2,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, FLUIDS & PLASMAS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasma Physics and Controlled Fusion","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1088/1361-6587/ad7531","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, FLUIDS & PLASMAS","Score":null,"Total":0}
引用次数: 0

摘要

可靠的垂直位置控制将是未来任何基于托卡马克的聚变发电厂的基本要素,以减少中断并最大限度地提高性能。我们研究了改进等离子体运行空间垂直可控性边界确定的方法,并展示了一种基于运行空间数据直接伪反转的数据驱动方法,该方法定量严格,适用于实时等离子体控制系统,并能直观地进行物理解释。这种方法应用于 MAST-U、KSTAR 和 NSTX 托卡马克整个运行活动的历史拍摄数据,在 DECAF 中实施后,垂直位移事件识别准确率提高到 98.9%-100%。此外,我们还探索了基于物理学的垂直稳定性度量作为垂直位移事件预警预报器的应用。等离子体电流密度剖面线性代用模型的开发,在训练数据集上的决定系数为 0.992,使该预报器有可能实时投入使用。将这一方法应用于 MAST-U MU02 活动的历史数据,得出的预报准确率为 62.6%,表明这一方法在进一步完善并可能与其他稳定性指标相结合时大有可为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Vertical instability forecasting and controllability assessment of multi-device tokamak plasmas in DECAF with data-driven optimization
Reliable vertical position control will be an essential element of any future tokamak-based fusion power plant in order to reduce disruptions and maximize performance. We investigate methods to improve vertical controllability boundary determination in plasma operational space and demonstrate a data-driven approach based on direct pseudoinversion of operational space data that is rigorously quantitative, applicable in real-time plasma control systems, and physically intuitive to interpret. Applied to historical shot data from entire run campaigns on the MAST-U, KSTAR, and NSTX tokamaks, this approach, implemented in DECAF, improves vertical displacement event identification accuracy to 98.9%–100%. Further, we explore the application of a physics-based vertical stability metric as an early warning forecaster for vertical displacement events. The development of a linear surrogate model for the plasma current density profile, with a coefficient of determination of 0.992 on the training dataset, enables potential employment of this forecaster in real-time. The application of this approach on historical data from the MAST-U MU02 campaign yields a forecaster with 62.6% accuracy, indicating promise for this method when further refined and potentially coupled with other stability metrics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Plasma Physics and Controlled Fusion
Plasma Physics and Controlled Fusion 物理-物理:核物理
CiteScore
4.50
自引率
13.60%
发文量
224
审稿时长
4.5 months
期刊介绍: Plasma Physics and Controlled Fusion covers all aspects of the physics of hot, highly ionised plasmas. This includes results of current experimental and theoretical research on all aspects of the physics of high-temperature plasmas and of controlled nuclear fusion, including the basic phenomena in highly-ionised gases in the laboratory, in the ionosphere and in space, in magnetic-confinement and inertial-confinement fusion as well as related diagnostic methods. Papers with a technological emphasis, for example in such topics as plasma control, fusion technology and diagnostics, are welcomed when the plasma physics is an integral part of the paper or when the technology is unique to plasma applications or new to the field of plasma physics. Papers on dusty plasma physics are welcome when there is a clear relevance to fusion.
期刊最新文献
Reduced order modeling for real-time monitoring of structural displacements due to electromagnetic forces in large scale tokamaks He II line intensity measurements in the JET tokamak Sheath constraints on turbulent magnetised plasmas Vertical instability forecasting and controllability assessment of multi-device tokamak plasmas in DECAF with data-driven optimization Identifying L-H transition in HL-2A through deep learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1