JOURNAL ARTICLE

GENERALIZATION OF C++-BASED DSP SOFTWARE FOR VOLTAGE SOURCE REGULATION AND CONTROL OF DIVERSE POWER CONVERTERS IN PARTICLE ACCELERATORS.

  • Published In: DYNA - Ingeniería e Industria, 2025, v. 100, n. 2. P. 137 1 of 3

  • Database: Art Source Ultimate 2 of 3

  • Authored By: Pinillos, Nagore; de Mallac, Louis; Pittet, Serge; Zielinski, Darjiusz Jakub; Ibarra, Edorta; Murillo-Garcia, Raul; de Alegría, Iñigo Martínez 3 of 3

Abstract

Large particle accelerator facilities such as the one at The European Organization for Nuclear Research (CERN) are good examples of complex systems where a large variety of switched power converters coexist to feed the acceleration systems. Over the years, the low-level voltage source regulation software has evolved in a decentralized manner, making it repetitive and difficult to test, debug and maintain. As reliability is of capital importance, this work investigates the similarities between various representative power systems and their converter-specific software, named CANCUN (Cern Acdc Narrow CoNverter), HL-LHC18kA (High Luminosity Large Hadron Collider 18 kA) and RF3kA (Radio-Frequency 3 kA). Then, a C++ coded common control library, herein named RegDspLib, is proposed to make software generalization possible, taking advantage of Object Oriented Programming (OOP). Among the library's features, the re-factorization includes a unified control state machine. The proposal also provides digital signal processor's (DSP) resource utilization reduction. Modifications over the interrupt handling and generalization of pulse width modulation (PWM) modules through parametrization are also investigated. Finally, experimental results showing the correctness of the proposal are presented. All this provides field engineers and researchers valuable information regarding voltage control software standardization, at a power electronics level, in medium-to-large particle acceleration or other complex industrial systems. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:DYNA - Ingeniería e Industria. 2025/03, Vol. 100, Issue 2, p137
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2025
  • ISSN:0012-7361
  • DOI:10.52152/D11247
  • Accession Number:183835875
  • Copyright Statement:Copyright of DYNA - Ingeniería e Industria is the property of UK Zhende Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.