@article{9095,
  author = {C. Galperti and F. Felici and T. Vu and O. Sauter and F. Carpanese and M. Kong and G. Marceca and A. Merle and J.T.W. Koenders and B. Kool and A. Pau and A. Perek and F. Pesamosca and M. Baquero-Ruiz and S. Coda and J. Decker and B. Duval and M. Gospodarczyk and A. Karpushov and S. Marchioni and A. Maier and B. Marletaz and A. Segovia and B. Vincent and B. Yildiz and D. Carnevale and N. Ferron and G. Manduchi and M. Maraschek and P. Milne and A. Neto and E. Poli and T. Ravensbergen and M. Reich and N. Rispoli and F. Sartori and TCV team},
  title = {Overview of the TCV digital real-time plasma control system and its applications},
  abstract = {Real-time plasma control systems are at the heart of operation of modern tokamaks. The control system of the TCV tokamak has recently seen a major upgrade in terms of its hardware and software components. Control algorithms are entirely programmed and tested in MATLAB/Simulink(R), executable code is automatically generated and interfaced to run-time parameters and signals through introspection using the MARTe2 software framework. The primary control system (used for coil currents, plasma current, position, shape and density control) has been upgraded by installing new analog signal inputs/output hardware, connected to two real-time computers that can operate in parallel. In addition, an EtherCAT-based real-time industrial network has been deployed to operate distributed low Input/Output count subsystems, greatly boosting the system flexibility and reach. The majority of TCV’s real-time codes have been ported to this new approach, such as the real-time equilibrium reconstruction (LIUQE), real-time Magneto-Hydro-Dynamics mode analysis algorithms, and a real-time plasma supervision, actuator management and plasma event monitor, including real-time plasma analysis using neural networks, and plasma disruption avoidance control schemes.},
  year = {2024},
  journal = {Fusion Engineering and Design},
  volume = {208},
  pages = {114640},
  month = {11/2024},
  doi = {10.1016/j.fusengdes.2024.114640},
  language = {eng},
}