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Mode rotation control in a tokamak with a feedback-driven biased electrode.
Brooks, J W; Stewart, I G; Boyer, M D; Levesque, J P; Mauel, M E; Navratil, G A.
Afiliação
  • Brooks JW; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Stewart IG; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Boyer MD; Princeton Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543, USA.
  • Levesque JP; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Mauel ME; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
  • Navratil GA; Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, USA.
Rev Sci Instrum ; 90(2): 023503, 2019 Feb.
Article em En | MEDLINE | ID: mdl-30831681
Rotation of the plasma and MHD modes in tokamaks has been shown to stabilize resistive wall and tearing modes as well as improve confinement through suppression of edge turbulence. In this work, we control mode rotation with a biased electrode inserted into the plasma of the High Beta Tokamak-Extended Pulse's facility in conjunction with its active GPU (Graphical Processing Unit) feedback system. We first characterize a negative linear relationship between the electrode voltage and mode rotation. Using this relationship, we design, simulate, and implement a proof-of-concept, GPU-based active-control system, which shows consistent success in controlling mode rotation in both feedforward and feedback operation. Controllability is limited by operating conditions, the electrode's voltage range, and by the electrode's proximity to the vessel's walls. The final control system has a 15 µs cycle time, but the addition of various signal filters results in a full cycle latency of 200 µs.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article