ICALEPCS2015 - List of Keywords (superconducting-magnet)

Paper	Title	Other Keywords	Page
MOM310	Nonlinear System Identification of Superconducting Magnets of RHIC at BNL	diagnostics, real-time, collider, booster	90
	P. Chitnis Stony Brook University, Stony Brook, New York, USA K.A. Brown BNL, Upton, Long Island, New York, USA
	Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy. The Quench Detection System (QDS) of RHIC detects the Superconducting (SC) magnet quenches by voltage sensing. The real-time voltage across the SC magnet is compared with a predicted voltage from a behavioral model, a deviation from which triggers the quench event and energy extraction. Due to the limitations of the magnet model, many false quench events are generated that affect the RHIC availability. This work is targeted towards remodeling the magnets through nonlinear system identification for the improvement in QDS reliability. The nonlinear electrical behavior of the SC magnets is investigated by statistical data analysis of magnet current and voltage signals. Many data cleaning techniques are employed to reduce the noise in the observed data. Piecewise regression has been used to examine the saturation effects in magnet inductance. The goodness-of-fit of the model is assessed by field testing and comprehensive residual analysis. Finally a new model is suggested for the magnets to be implemented for more accurate results.
	Slides MOM310 [0.826 MB]
	Poster MOM310 [0.985 MB]
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUC3I01	Machine Protection and Interlock System for Large Research Instruments	operation, controls, interlocks, injection	537
	R. Schmidt CERN, Geneva, Switzerland
	Major research instruments such as accelerators and fusion reactors operate with large amount of power and energy stored in beams and superconducting magnets. Highly reliable Machine Protection systems are required to operate such instruments without damaging equipment in case of failure. The increased interest in protection is related to the increasing beam power of high-power proton accelerators such as ISIS, SNS, ESS and the PSI cyclotron, to the large energy stored in the beam (in particular for hadron colliders such as LHC) and to the stored energy in magnet systems such as for ITER and LHC. Machine Protection includes process and equipment monitoring, a system to safely stop operation (e.g. dumping the beam or extracting the energy stored in the magnets) and an interlock system for highly reliable communication between protection systems. Depending on the application, the reaction of the protection function to failures must be very fast (for beam protection systems down to some us). In this paper an overview of the challenges for protection is given, and examples of interlock systems and their use during operation are presented.
	Slides TUC3I01 [1.887 MB]
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOM310

Nonlinear System Identification of Superconducting Magnets of RHIC at BNL

diagnostics, real-time, collider, booster

90

P. Chitnis
Stony Brook University, Stony Brook, New York, USA
K.A. Brown
BNL, Upton, Long Island, New York, USA

Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy.
The Quench Detection System (QDS) of RHIC detects the Superconducting (SC) magnet quenches by voltage sensing. The real-time voltage across the SC magnet is compared with a predicted voltage from a behavioral model, a deviation from which triggers the quench event and energy extraction. Due to the limitations of the magnet model, many false quench events are generated that affect the RHIC availability. This work is targeted towards remodeling the magnets through nonlinear system identification for the improvement in QDS reliability. The nonlinear electrical behavior of the SC magnets is investigated by statistical data analysis of magnet current and voltage signals. Many data cleaning techniques are employed to reduce the noise in the observed data. Piecewise regression has been used to examine the saturation effects in magnet inductance. The goodness-of-fit of the model is assessed by field testing and comprehensive residual analysis. Finally a new model is suggested for the magnets to be implemented for more accurate results.

Slides MOM310 [0.826 MB]

Poster MOM310 [0.985 MB]

Export •

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

TUC3I01

Machine Protection and Interlock System for Large Research Instruments

operation, controls, interlocks, injection

537

R. Schmidt
CERN, Geneva, Switzerland

Major research instruments such as accelerators and fusion reactors operate with large amount of power and energy stored in beams and superconducting magnets. Highly reliable Machine Protection systems are required to operate such instruments without damaging equipment in case of failure. The increased interest in protection is related to the increasing beam power of high-power proton accelerators such as ISIS, SNS, ESS and the PSI cyclotron, to the large energy stored in the beam (in particular for hadron colliders such as LHC) and to the stored energy in magnet systems such as for ITER and LHC. Machine Protection includes process and equipment monitoring, a system to safely stop operation (e.g. dumping the beam or extracting the energy stored in the magnets) and an interlock system for highly reliable communication between protection systems. Depending on the application, the reaction of the protection function to failures must be very fast (for beam protection systems down to some us). In this paper an overview of the challenges for protection is given, and examples of interlock systems and their use during operation are presented.

Slides TUC3I01 [1.887 MB]

Export •

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