Control-oriented modeling of the plasma particle density in tokamaks and application to real-time density profile reconstruction

T.C. Blanken, F. Felici, C.J. Rapson, M.R. de Baar, W.P.M.H. Heemels, TCV team, ASDEX-Upgrade team

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
149 Downloads (Pure)

Abstract

A model-based approach to real-time reconstruction of the particle density profile in tokamak plasmas is presented, based on a dynamic state estimator. Traditionally, the density profile is reconstructed in real-time by solving an ill-conditioned inversion problem using a measurement at a single point in time. This approach is sensitive to diagnostics errors and failure. The inclusion of a dynamic model in a real-time estimation algorithm allows for reliable reconstruction despite diagnostic errors. Predictive simulations show that the model can reproduce the density evolution of discharges on TCV and ASDEX-Upgrade after tuning of a few parameters. Offline reconstructions using experimental data from TCV show accurate estimation of the density profile and show examples of fault detection of interferometry signals.

Original languageEnglish
Pages (from-to)87-103
Number of pages17
JournalFusion Engineering and Design
Volume126
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • Control-oriented modeling
  • Density profile estimation
  • Density profile evolution modeling
  • Dynamic state observer
  • Real-time profile estimation

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