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  1. Published Papers
  2. Published Papers

Data-Driven Control for Radiative Collapse Avoidance in Large Helical Device

http://hdl.handle.net/10655/00013562
http://hdl.handle.net/10655/00013562
62107365-0e8a-4275-bba6-f8cf04973c18
名前 / ファイル ライセンス アクション
PFR_17-2402042.pdf PFR_17-2402042 (2.4 MB)
license.icon
Item type 学術雑誌論文 / Journal Article(1)
公開日 2023-03-03
タイトル
タイトル Data-Driven Control for Radiative Collapse Avoidance in Large Helical Device
言語
言語 eng
キーワード
主題Scheme Other
主題 Large Helical Device (LHD)| radiative collapse
キーワード
主題Scheme Other
主題 density limit
キーワード
主題Scheme Other
主題 stellarator-heliotron plasmas
キーワード
主題Scheme Other
主題 sparse modeling
キーワード
主題Scheme Other
主題 data-driven science
キーワード
主題Scheme Other
主題 plasma control
キーワード
主題Scheme Other
主題 collapse avoidance
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 YOKOYAMA, Tatsuya

× YOKOYAMA, Tatsuya

YOKOYAMA, Tatsuya

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YAMADA, Hiroshi

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YAMADA, Hiroshi

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MASUZAKI, Suguru

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MASUZAKI, Suguru

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PETERSON, Byron

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PETERSON, Byron
PETERSON, Byron J.

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SAKAMOTO, Ryuichi

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SAKAMOTO, Ryuichi

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GOTO, Motoshi

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GOTO, Motoshi

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OISHI, Tetsutaro

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OISHI, Tetsutaro

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KAWAMURA, Gakushi

× KAWAMURA, Gakushi

KAWAMURA, Gakushi

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KOBAYASHI, Masahiro

× KOBAYASHI, Masahiro

KOBAYASHI, Masahiro

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TSUJIMURA, Toru I.

× TSUJIMURA, Toru I.

TSUJIMURA, Toru I.

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MIZUNO, Yoshinori

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MIZUNO, Yoshinori

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MIYAZAWA, Junichi

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MIYAZAWA, Junichi
MIYAZAWA, Jun-ichi

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MUKAI, Kiyofumi

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MUKAI, Kiyofumi

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TAMURA, Naoki

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TAMURA, Naoki

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MOTOJIMA, Gen

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MOTOJIMA, Gen

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IDA, Katsumi

× IDA, Katsumi

IDA, Katsumi

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抄録
内容記述タイプ Abstract
内容記述 A radiative collapse predictor has been developed using a machine-learning model with high-density plasma experiments in the Large Helical Device (LHD). The model is based on the collapse likelihood, which is quantified by the parameters selected by the sparse modeling, including ne, CIV, OV, and Te,edge. The control system implementing this model has been constructed with a single-board computer to apply this predictor model to the LHD experiment. The controller calculates the collapse likelihood and regulates gas-puff fueling and boosts electron cyclotron resonance heating in real-time. In density ramp-up experiments with hydrogen plasma, high-density plasma has been maintained by the control system while avoiding radiative collapse. This result has shown that the predictor based on the collapse likelihood has the capability to predict a radiative collapse in real-time.
書誌情報 Plasma and Fusion Research Volume 17, 2402042

巻 17, 号 Special Issue 1, p. 2402042, 発行日 2022-03-30
書誌的事項
the 30th International Toki Conference on Plasma and Fusion Research (ITC30)
出版者
出版者 The Japan Society of Plasma Science and Nuclear Fusion Research
ISSN
収録物識別子タイプ ISSN
収録物識別子 1880-6821
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12346675
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1585/pfr.17.2402042
権利
権利情報 (c) 2022 The Japan Society of Plasma Science and Nuclear Fusion Research
関連サイト
識別子タイプ DOI
関連識別子 http://doi.org/10.1585/pfr.17.2402042
関連名称 Publisher version
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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Cite as

YOKOYAMA, Tatsuya, YAMADA, Hiroshi, MASUZAKI, Suguru, PETERSON, Byron J., SAKAMOTO, Ryuichi, GOTO, Motoshi, OISHI, Tetsutaro, KAWAMURA, Gakushi, KOBAYASHI, Masahiro, TSUJIMURA, Toru I., MIZUNO, Yoshinori, MIYAZAWA, Jun-ichi, MUKAI, Kiyofumi, TAMURA, Naoki, MOTOJIMA, Gen, IDA, Katsumi, 2022, Data-Driven Control for Radiative Collapse Avoidance in Large Helical Device: The Japan Society of Plasma Science and Nuclear Fusion Research, 2402042– p.

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