ICALEPCS2017 - List of Authors (Matasaho, I.T.)

Paper	Title	Page
TUPHA066	A Real-Time, Distributed Power Measuring and Transient Recording System for Accelerators' Electrical Networks	553
	E. Freddi, O.Ø. Andreassen, K. Develle, J. Lahaye, I.T. Matasaho, A. Rijllart CERN, Geneva, Switzerland
	Particle accelerators are complex machines with fast and high power absorption peaks. Power quality is a critical aspect for correct operation. External and internal disturbances can have significant repercussions causing beam losses or severe perturbations. Mastering the load and understanding how network disturbances propagate across the network is a crucial step for developing the grid model and realizing the limits of the existing installations. Despite the fact that several off-the-shelf solutions for real time data acquisition are available, an in-house FPGA based solution was developed to create a distributed measurement system. The system can measure power and power quality on demand as well as acquire raw current and voltage data on a defined trigger, similar to a distributed oscilloscope. In addition, the system allows recording many digital signals from the high voltage switchgear enabling electrical perturbations to be easily correlated with the state of the network. The result is a scalable system with fully customizable software, written specifically for this purpose. The system prototype has been in service for two years and full-scale deployment is currently ongoing.
	Poster TUPHA066 [1.292 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA066
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPHA202	The Control System of the CERN Platform for the Test of the High Luminosity LHC Superconducting Magnets	918
	H. Reymond, M.F. Gomez De La Cruz, I.T. Matasaho, A. Rijllart CERN, Geneva, Switzerland
	A new generation of superconducting magnets is being developped, in the framework of the HL-LHC upgrade project. Several laboratories in Europe, USA, Japan and Russia collaborate on this project. One of the tasks assigned to CERN is to conduct the optimization tests and later the series tests, for the MQXFS and MQXF-A/B magnets. A new dedicated test bench has been built at the CERN superconducting magnet test facility (SM18), where these magnets will be evaluated under their operational conditions in the LHC tunnel. To fulfill the test conditions on these high performance magnets, a new high frequency data acquisition system (DAQ) has been designed, associated to a new software used to control two 15 kA power converters. This article presents all the technical aspects of these two major components of the test platform, from the PXIe hardware selection of the DAQ system to the operational applications deployment. The commissioning phase and results of the first measurement campaign are also reported.
	Poster TUPHA202 [3.365 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA202
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

A Real-Time, Distributed Power Measuring and Transient Recording System for Accelerators' Electrical Networks

553

E. Freddi, O.Ø. Andreassen, K. Develle, J. Lahaye, I.T. Matasaho, A. Rijllart
CERN, Geneva, Switzerland

Particle accelerators are complex machines with fast and high power absorption peaks. Power quality is a critical aspect for correct operation. External and internal disturbances can have significant repercussions causing beam losses or severe perturbations. Mastering the load and understanding how network disturbances propagate across the network is a crucial step for developing the grid model and realizing the limits of the existing installations. Despite the fact that several off-the-shelf solutions for real time data acquisition are available, an in-house FPGA based solution was developed to create a distributed measurement system. The system can measure power and power quality on demand as well as acquire raw current and voltage data on a defined trigger, similar to a distributed oscilloscope. In addition, the system allows recording many digital signals from the high voltage switchgear enabling electrical perturbations to be easily correlated with the state of the network. The result is a scalable system with fully customizable software, written specifically for this purpose. The system prototype has been in service for two years and full-scale deployment is currently ongoing.

Poster TUPHA066 [1.292 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA066

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPHA202

The Control System of the CERN Platform for the Test of the High Luminosity LHC Superconducting Magnets

918

H. Reymond, M.F. Gomez De La Cruz, I.T. Matasaho, A. Rijllart
CERN, Geneva, Switzerland

A new generation of superconducting magnets is being developped, in the framework of the HL-LHC upgrade project. Several laboratories in Europe, USA, Japan and Russia collaborate on this project. One of the tasks assigned to CERN is to conduct the optimization tests and later the series tests, for the MQXFS and MQXF-A/B magnets. A new dedicated test bench has been built at the CERN superconducting magnet test facility (SM18), where these magnets will be evaluated under their operational conditions in the LHC tunnel. To fulfill the test conditions on these high performance magnets, a new high frequency data acquisition system (DAQ) has been designed, associated to a new software used to control two 15 kA power converters. This article presents all the technical aspects of these two major components of the test platform, from the PXIe hardware selection of the DAQ system to the operational applications deployment. The commissioning phase and results of the first measurement campaign are also reported.

Poster TUPHA202 [3.365 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA202

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)