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Researh on robust control of fusion plasma based on deep learing

Research Project

Project/Area Number 17H03508
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Nuclear fusion studies
Research InstitutionThe University of Tokyo

Principal Investigator

Ogawa Yuichi  東京大学, 大学院新領域創成科学研究科, 客員共同研究員 (90144170)

Co-Investigator(Kenkyū-buntansha) 日渡 良爾  国立研究開発法人量子科学技術研究開発機構, 六ヶ所核融合研究所 核融合炉システム研究開発部, 主幹研究員(定常) (40371348)
三善 悠矢  国立研究開発法人量子科学技術研究開発機構, 六ヶ所核融合研究所 核融合炉システム研究開発部, 任期付職員(任常) (50758638)
Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
Fiscal Year 2019: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
Keywords核融合 / プラズマ / トカマク / ディスラプション / 機械学習 / プラズマ・核融合 / 制御工学
Outline of Final Research Achievements

Data-driven science has been introduced for the foresight of plasma disruption which is one of the most important problems on tokamak plasma control including the ITER, paying attention to extracting dominant physical parameters among a lot of experimental data. By applying the Exhaust Search method in the machine learning technique for disruption prediction, a few key parameters (typically 5 ~ 7 ones) have been extracted though 23 physical parameters temporally and/or spatially measured.
In addition, using those parameters, the probability function of disruption occurrence has been derived, and the application to core plasma control has been proposed.

Academic Significance and Societal Importance of the Research Achievements

環境に優しく人類の恒久的なエネルギー源の有力な候補である核融合エネルギー開発は、国際プロジェクトITER計画を中心として精力的に推進されている。ITERをはじめとした将来の核融合炉心プラズマ制御の大きな課題として、プラズマが突然消滅するディスラプション現象があり、その制御に向けて実験や理論・シミュレーションで盛んに研究されている。
本研究では、最近急速に発展してきているビッグデータを活用したデータ駆動科学の手法をディスラプション予知に導入し、ディスラプションを引き起こす主要パラメータの抽出に成功すると共に、それらを用いたディスラプション制御の可能性を示した。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (10 results)

All 2019 2018

All Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (8 results) (of which Int'l Joint Research: 5 results,  Invited: 1 results)

  • [Journal Article] Prediction of high-beta disruptions in JT-60U based on sparse modeling using exhaustive search2019

    • Author(s)
      T.Yokoyama, Y.Miyoshi, R.Hiwatari, A.Isayama, G.Matsunaga, N.Oyama, Y.Igarashi, M.Okada, and Y.Ogawa
    • Journal Title

      Fusion Engineering and Design

      Volume: 140 Pages: 67-80

    • DOI

      10.1016/j.fusengdes.2019.01.128

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Disruption Prediction by Support Vector Machine and Neural Network with Exhaustive Search2018

    • Author(s)
      T. Yokoyama, T. Sueyoshi, Y. Miyoshi, R. Hiwatari, Y. Igarashi, M. Okada, Y. Ogawa
    • Journal Title

      Plasma and Fusion Research

      Volume: 13 Issue: 0 Pages: 3405021-3405021

    • DOI

      10.1585/pfr.13.3405021

    • NAID

      130006744403

    • ISSN
      1880-6821
    • Year and Date
      2018-04-10
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Presentation] Sparse modeling for a data-driven approach in Plasma Physics2019

    • Author(s)
      Y. Igarashi, T. Yokoyama, Y. Miyoshi, R. Hiwatari, A. Isayama, G. Matsunaga, N. Oyama, Y. Ogawa, Y. Hiroshi and M. Okada
    • Organizer
      3rd Asia-Pacific Conference on Plasma Physics (AAPPS-DPP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Applied study of feature extraction using exhaustive search on high-beta disruption in JT-60U2019

    • Author(s)
      T. Yokoyama, Y. Miyoshi, R. Hiwatari, A. Isayama, G. Matsunaga, N. Oyama, Y. Igarashi, M. Okada, N. Imagawa, Y. Ogawa, and H. Yamada
    • Organizer
      3rd Asia-Pacific Conference on Plasma Physics (AAPPS-DPP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Data-driven study of high-beta disruption prediction in JT-60U using exhaustive search2019

    • Author(s)
      T. Yokoyama, Y. Miyoshi, R. Hiwatari, A. Isayama, G. Matsunaga, N. Oyama, Y. Igarashi, M. Okada, N. Imagawa, Y. Ogawa, and H. Yamada
    • Organizer
      3rd Asia-Pacific Conference on Plasma Physics (AAPPS-DPP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Feature extraction using exhaustive search in disruption prediction based on JT-60U experimental data2019

    • Author(s)
      T. Yokoyama, T. Sueyoshi, Y. Miyoshi, R. Hiwatari, A. Isayama, G. Matsunaga, N. Oyama, Y. Igarashi, M. Okada, N. Imagawa, H. Yamada, and Y. Ogawa
    • Organizer
      2nd International Conference on Data Driven Plasma Science
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] JT-60Uにおける高ベータディスラプションのデータ駆動型研究2019

    • Author(s)
      横山達也,三善悠矢,日渡良爾,諫山明彦,松永剛,大山直幸,五十嵐康彦,岡田真人,今川直人,小川雄一
    • Organizer
      第22回若手科学者によるプラズマ研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Disruption prediction with sparse modeling by exhaustive search2018

    • Author(s)
      T.. Yokoyama, T. Sueyoshi, Y. Miyoshi, R. Hiwatari, A. Isayama, G. Matsunaga, N. Oyama, Y. Igarashi, M. Okada, and Y. Ogawa
    • Organizer
      45th European Physical Society Conference on Plasma Physics
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 状態探索による特徴抽出を用いたディスラプション予知2018

    • Author(s)
      1.横山達也,末吉孝充,三善悠矢,日渡良爾,五十嵐康彦,岡田真人,小川雄一
    • Organizer
      第12回核融合エネルギー連合講演会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 全状態探索によるデータ駆動アプローチを用いたJT-60U の高ベータディスラプション予知と物理背景の抽出2018

    • Author(s)
      2.横山達也,三善悠矢,日渡良爾,諫山明彦,松永剛,大山直幸,五十嵐康彦,岡田真人,今川直人,小川雄一
    • Organizer
      第35回プラズマ・核融合学会年会
    • Related Report
      2018 Annual Research Report

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Published: 2017-04-28   Modified: 2021-02-19  

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