• DocumentCode
    1736397
  • Title

    Poloidal magnetic flux profile control in tokamaks via normalized coprime factorization robust control

  • Author

    Barton, Justin ; Ou, Yongsheng ; Xu, Chao ; Schuster, Eugenio ; Walker, Michael

  • Author_Institution
    Dept. of Mech. Eng. & Mech., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2011
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    The potential steady-state operation of a fusion tokamak, with good confinement and a high fusion gain, is related to setting up a suitable current density profile in the device. Experiments at the DIII-D tokamak focus on creating the desired current profile during the plasma current ramp-up and early flat-top phases of the discharge with the aim of maintaining this target profile throughout the subsequent phases of the discharge. The time evolution of the current density profile in a tokamak is related to the time evolution of the poloidal magnetic flux profile, which is modeled in normalized cylindrical coordinates by a partial differential equation referred to as the magnetic diffusion equation. Extremum seeking and nonlinear programming techniques have been employed to find optimal open-loop (feedforward) solutions to the finite time control problem during the ramp-up and early flat-top phases. In order to reject the effects of external disturbances to the system, we propose an optimal H feedback control input that is added to the optimal feedforward control input to regulate the poloidal flux profile around the desired reference trajectories of the system. The combined feedforward + feedback, model-based controller is then tested through simulation.
  • Keywords
    H control; feedforward; magnetic flux; magnetic variables control; nonlinear programming; partial differential equations; robust control; state feedback; H feedback control; feedforward control; finite time control problem; flattop phase; fusion tokamak; magnetic diffusion equation; nonlinear programming; normalized coprime factorization robust control; partial differential equation; poloidal magnetic flux profile control; steady-state operation; time evolution; Equations; Feedforward neural networks; Mathematical model; Tokamaks; Toroidal magnetic fields; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2011 IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4577-1062-9
  • Electronic_ISBN
    978-1-4577-1061-2
  • Type

    conf

  • DOI
    10.1109/CCA.2011.6044432
  • Filename
    6044432