• DocumentCode
    133832
  • Title

    Internal inductance predictive control for Tokamaks

  • Author

    Garrido, Izaskun ; Romero, Jesus Antonio ; Garrido, Aitor J. ; Lucchin, Davide ; Carrascal, Edorta ; Sevillano-Berasategui, Goretti

  • Author_Institution
    Dept. Aut. Control & Syst. Eng., Univ. of the Basque Country (UPV/EHU), Bilbao, Spain
  • fYear
    2014
  • fDate
    3-7 Aug. 2014
  • Firstpage
    628
  • Lastpage
    633
  • Abstract
    Control of the plasma inductance is an essential tool for the successful operation of Tokamaks in order to overcome stability issues as well as the new challenges specific to advanced scenarios operation. Thus, tokamak operation may benefit from model predictive control techniques to extend the pulse duration by reducing instabilities while guaranteeing tokamak integrity. The numerical results seem to indicate that internal inductance and current profiles can be adequately controlled which will influence the L-H transition timing, the density peaking and pedestal pressure. In this regard, the need for optimal, robust control emerges as a key factor in the development of a nuclear fusion reactor.
  • Keywords
    Tokamak devices; fusion reactor theory; physical instrumentation control; plasma instability; plasma pressure; plasma toroidal confinement; predictive control; robust control; L-H transition timing; Tokamak integrity; density peaking; instability reduction; internal inductance predictive control; model predictive control techniques; nuclear fusion reactor development; optimal robust control; pedestal pressure; plasma inductance control; pulse duration; stability issues; Aerospace electronics; Coils; Inductance; Mathematical model; Optimization; Tokamaks; Fusion; ITER; Internal inductance; Model Predictive Control; Plasma current; Tokamak;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2014
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/WAC.2014.6936072
  • Filename
    6936072