Real-time estimation and control of the electron density with a novel multi-rate observer on TCV

POSTER

Abstract

The estimation and control in real time of the electron density for tokamaks is fundamental for its operation in many experimental conditions and scenarios. A precise assessment of the electron density profile during the discharge enables a more accurate control of various derived quantities, such as core, edge and line-averaged electron density within the LCFS.

Building on the integration of RAPDENS into the TCV plasma control system [1], this follow-up study explores its application to density control for detachment studies and high-performance H-mode scenarios.

The RAPDENS-based density profile observer combines the spatial resolution of Thomson Scattering with the high time resolution of the FIR to obtain a reliable density profile estimate, which is then employed to control the normalized edge density [2] for advanced tokamak scenarios in H-mode plasmas.

Experiments demonstrated the observer’s capability to support detachment studies in complex divertor geometries by accurately controlling the line-averaged density within the LCFS while avoiding divertor pick-up of the FIR signal.

Unknown plasma parameters can be estimated and adapted in real-time through the Kalman filter algorithm, such as fuelling efficiency and particle transport coefficients, for enhanced model robustness.

[1] F. Pastore et al., Fus. Eng. Des vol.192, p.113615,doi:10.1016/j.fusengdes.2023.113615, 2023.

[2] M. Bernert et al 2015 Plasma Phys. Control. Fusion 57 014038, doi: 10.1088/0741-3335/57/1/014038

*This work has been carried out within the framework of the EUROfusion Consortium, via the Euratom Research and Training Programme (Grant Agreement No 101052200 — EUROfusion) and funded by the Swiss State Secretariat for Education, Research and Innovation (SERI). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Commission, or SERI. Neither the European Union nor the European Commission nor SERI can be held responsible for them. This work was supported in part by the Swiss National Science Foundation.

Presenters

  • Francesco Pastore

    • EPFL
    • École Polytechnique Fédérale de Lausanne

Authors

  • Francesco Pastore

    • EPFL
    • École Polytechnique Fédérale de Lausanne
  • Olivier Sauter

    • EPFL
    • SPC-EPFL
    • Ecole Polytechnique Federale de Lausanne
  • Federico Felici

    • Google DeepMind
  • Daniela Kropackova

    • Czech Technical University, Prague
  • Ondrej Kudlacek

    • Max-Planck-Institut für Plasmaphysik
  • N. M. T. Vu

    • ITER Organization
  • Alessandro Pau

    • École Polytechnique Fédérale de Lausanne
    • SPC-EPFL
    • École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC)
  • Cristian Galperti

    • SPC-EPFL
    • Ecole Polytechnique Federale de Lausanne
  • Timo Ravensbergen

    • ITER Organization
  • Simon Van Mulders

    • ITER Organization
  • Kenneth Lee

    • SPC-EPFL
  • Benjamin Vincent

    • SPC-EPFL