Author: Ghribi, A.
Paper Title Page
MOPOPA15 Three Years of Operation of the SPIRAL2 SC LINAC- RF Feedback 98
 
  • M. Di Giacomo, M. Aburas, P.-E. Bernaudin, O. Delahaye, A. Dubosq, A. Ghribi, J.-M. Lagniel, J.F. Leyge, G. Normand, A.K. Orduz, F. Pillon, L. Valentin
    GANIL, Caen, France
  • F. Bouly
    LPSC, Grenoble Cedex, France
  • S. Sube
    CEA-DRF-IRFU, France
 
  The superconducting LINAC of SPIRAL2 at the GANIL facility has been in operation since October 2019. The accelerator uses 12 low beta and 14 high beta supercon-ducting quarter wave cavities, cooled at 4°K, working at 88 MHz. The cavities are operated at a nominal gradient of 6.5 MV/m and are independently powered by a LLRF and a solid-state amplifier, protected by a circulator. Pro-ton and deuteron beam currents can reach 5 mA and beam loading perturbation is particularly strong on the first cavities, as they are operated at field levels much lower than the nominal one. This paper presents a feedback after three years of oper-ation, focuses on the RF issues, describing problems and required improvement on the low level, control and pow-er systems  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-MOPOPA15  
About • Received ※ 14 August 2022 — Revised ※ 17 August 2022 — Accepted ※ 01 September 2022 — Issue date ※ 02 September 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
TUPOGE02 Three Years of Operation of the SPIRAL2 LINAC: Cryogenics and Superconducting RF Feedback 479
 
  • P.-E. Bernaudin, M. Aburas, M. Di Giacomo, A. Ghribi, P. Robillard, L. Valentin
    GANIL, Caen, France
 
  The superconducting LINAC of SPIRAL2 at the GANIL facility is in operation since October 2019. Its 26 super-conducting quarter wave resonating cavities (88 MHz) are operated at a nominal gradient of 6.5 MV/m, but most of the cavities can be operated up to 8 MV/m. They are integrated into 19 cryomodules and cooled down at 4 K by a dedicated refrigeration cryogenic system. In this paper, we will present a feedback after five years of operation of the cryogenic system, focusing on the main problems that have been faced, and on the diverse evolutions performed in order to improve the cryogenic system and to increase its reliability. We will also provide a feedback of the superconducting cavities performances status after three years of operation  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-TUPOGE02  
About • Received ※ 27 July 2022 — Revised ※ 22 August 2022 — Accepted ※ 26 August 2022 — Issue date ※ 15 September 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)  
 
TUPOGE03 Advanced Cryogenic Process Control and Monitoring for the SPIRAL2 Superconducting LINAC 483
 
  • A. Ghribi, M. Aburas, P.-E. Bernaudin, M. Di Giacomo, A.H. Trudel, Q. Tura
    GANIL, Caen, France
  • P. Bonnay, F. Bonne
    CEA/INAC, Grenoble Cedex 9, France
  • F. Millet
    CEA, Grenoble, France
 
  SPIRAL2 is a superconducting accelerator for protons, deuterons and heavy ions delivering a maximum beam power of 200 kW at 40 MeV (for deuteron beams). 26 superconducting quarter wave cavities are operated at 4.4 K, plunged in a liquid helium bath with a drastic phase separator pressure control. Previous years have seen the development of advanced process control for cryogenics allowing to cope with high heat load dynamics thanks to an automatic heat dissipation compensation and a model based control. The latter is based on models, using the Simcryogenics library, optimized and linearised in the Programmable Logic Controllers. The SPIRAL2 operation has demonstrated that such control allows to keep the specified conditions for RF and beam operation even at levels of heat load dissipation approaching the physical limits of the cryogenic system. These developments allowed to synthesise a virtual observer of the dynamic heat load dissipated by the cavities. The present paper summarises the development of such observer based on the physical thermodynamic model and on machine learning techniques.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-LINAC2022-TUPOGE03  
About • Received ※ 24 August 2022 — Revised ※ 02 September 2022 — Accepted ※ 04 September 2022 — Issue date ※ 09 September 2022
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)