Diagnostics, data acquisition and control of the divertor test tokamak experiment

R. Albanese, R. Ambrosino, M. Ariola, G. De Tommasi, A. Pironti, M. Cavinato, A. Neto, F. Piccolo, F. Sartori, R. Ranz, L. Carraro, A. Canton, R. Cavazzana, A. Fassina, P. Franz, P. Innocente, A. Luchetta, G. Manduchi, L. Marrelli, E. MartinesS. Peruzzo, M.E. Puiatti, P. Scarin, G. Spizzo, M. Spolaore, M. Valisa, G. Gorini, M. Nocente, C. Sozzi, M.L. Apicella, L. Gabellieri, G. Maddaluno, G. Ramogida

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The system of diagnostics, data acquisition and control foreseen on the Divertor Test Tokamak experiment (DTT) is presented. Conceived in an integrated way, the control system meets the specifications of a fusion experiment devoted to the study of the power exhaust problem in view of DEMO. Diagnostics and feedback control are particularly functional to the need of maintaining the plasma close to equilibrium in situations prone to instabilities where the plasma wall interaction is optimized. Strongly oriented to the exploration of control methods suitable for DEMO, DTT will specifically experiment on physics and engineering model based control systems. Control and data flow schemes are inspired by those of ITER.
Original languageEnglish
Pages (from-to)365 - 374
Number of pages10
JournalFusion Engineering and Design
Volume122
DOIs
Publication statusPublished - 1 Nov 2017
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Nuclear Energy and Engineering
  • Materials Science(all)
  • Mechanical Engineering

Cite this

Albanese, R., Ambrosino, R., Ariola, M., De Tommasi, G., Pironti, A., Cavinato, M., Neto, A., Piccolo, F., Sartori, F., Ranz, R., Carraro, L., Canton, A., Cavazzana, R., Fassina, A., Franz, P., Innocente, P., Luchetta, A., Manduchi, G., Marrelli, L., ... Ramogida, G. (2017). Diagnostics, data acquisition and control of the divertor test tokamak experiment. Fusion Engineering and Design, 122, 365 - 374. https://doi.org/10.1016/j.fusengdes.2017.05.118