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Fuzzy Logic Control of Toroidal Plasmas

Research Project

Project/Area Number 04680020
Research Category

Grant-in-Aid for General Scientific Research (C)

Allocation TypeSingle-year Grants
Research Field プラズマ理工学
Research InstitutionNational Institute for Fusion Science

Principal Investigator

YAMAZAKI Kozo  National Institute for Fusion Science, Professor, 大型ヘリカル研究部, 教授 (50115648)

Project Period (FY) 1992 – 1994
Project Status Completed (Fiscal Year 1994)
Budget Amount *help
¥1,400,000 (Direct Cost: ¥1,400,000)
Fiscal Year 1994: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1993: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1992: ¥500,000 (Direct Cost: ¥500,000)
KeywordsFusion / Toroidal Plasma / Real-Time Control / Fuzzy Control / Feedback Control / トーマスプラズマ
Research Abstract

This research aims at applying fuzzy logic to the plasma control, at clarifying the applicability of this algorism, and at searching for the prospect of the future fusion reactor control.
The control objets in magnetically confined toroidal plasmas are plasma current, plasma position, plasma cross-section, plasma density, heating power and so on. In addition to those, in the reactor, neutron production rate and fusion power output should be controlled. Until now classical PID (Proportional, Integrated and Derivative) control schemes are adopted in the fusion research. Since the machine system becomes bigger, a new flexible and reliable control concept is being required.
The author are continuing the plasma control research in both tokamak and helical systems, and developing computer codes for plasma modeling. As for fuzzy control research, a mini-max center-of-gravity fuzzification method with triangular membership function is applied to the plasma current control in helical plasma.
During this fiscal year (Heisei 6th) a fuzzy control algorism was added to the LHD plasma control R&D machine. This control scheme will be applied to the fusion experimental machine and fusion power reactor, and will contribute to the systematization of fusion control. At the beginning of this research, only fuzzy control logic was surveyed, but wide and basic investigations on various intelligent controls have recently been started, including neural network combined with fuzzy logic and new concepts (Chaos Engineering and Generic Algorism).

Report

(4 results)
  • 1994 Annual Research Report   Final Research Report Summary
  • 1993 Annual Research Report
  • 1992 Annual Research Report
  • Research Products

    (6 results)

All Other

All Publications (6 results)

  • [Publications] K.Yamazaki et al.,: "“Design of Central Control System for Large Helical Davice"" Nucl.Instr.and Meth.in Phys.Res A. 352. 43-47 (1994)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1994 Final Research Report Summary
  • [Publications] 山崎耕造: "加速器と大型実験物理の制御システムに関する国際会議" プラズマ・核融合学会誌. 70. 184-186 (1994)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1994 Final Research Report Summary
  • [Publications] K.Yamazaki et al.: ""Design of Central Control System for Large Helical Device"" Nucl.Instr.and Meth in Phys.Res A. 352. 43-47 (1994)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1994 Final Research Report Summary
  • [Publications] K.Yamazaki: ""Conference Report on ICALEPCS'94"(in Japanese)" J.Plasma and Fusion Research. Vol.70. 184-186 (1994)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1994 Final Research Report Summary
  • [Publications] K.Yamazaki et al.,: ""Design of Central Control System for Large Helical Device"" Nucl.Instr.and Meth.in Phys.Res A. 352. 43-47 (1994)

    • Related Report
      1994 Annual Research Report
  • [Publications] 山崎耕造: "「加速器と大型実験物理の制御システムに関する国際会議」" プラズマ・核融合学会誌. 70巻. 184-186 (1994)

    • Related Report
      1994 Annual Research Report

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Published: 1992-04-01   Modified: 2016-04-21  

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