IPAC2016 - List of Authors (Edelen, J.P.)

Paper	Title	Page
MOPMW026	Resonant Control for Fermilab's PXIE RFQ	447
	D.L. Bowring, B.E. Chase, J. Czajkowski, J.P. Edelen, D.J. Nicklaus, J. Steimel, T.J. Zuchnik Fermilab, Batavia, Illinois, USA S. Biedron, A.L. Edelen, S.V. Milton CSU, Fort Collins, Colorado, USA
	Funding: Work supported by Fermilab Research Alliance, LLC under Contract No. DE-AC02-07CH11359. The RFQ for Fermilab's PXIE test program is designed to accelerate a < 10 mA H⁻ CW beam to 2.1 MeV. The RFQ has a four-vane design, with four modules brazed together for a total of 4.45 m in length. The RF power required is < 130 kW at 162.5 MHz. A 3 kHz limit on the maximum allowable frequency error is imposed by the RF amplifiers. This frequency constraint must be managed entirely through differential cooling of the RFQ's vanes and outer body and associated material expansion. Simulations indicate that the body and vane coolant temperature should be controlled to within 0.1 degrees C. We present the design of the cooling network and the resonant control algorithm for this structure, as well as results from initial operation.
DOI •	reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-MOPMW026
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THPOY020	Neural Network Modeling of the PXIE RFQ Cooling System and Resonant Frequency Response	4131
	A.L. Edelen, S. Biedron, S.V. Milton CSU, Fort Collins, Colorado, USA D.L. Bowring, B.E. Chase, J.P. Edelen, J. Steimel Fermilab, Batavia, Illinois, USA
	As part of the PIP-II Injector Experiment (PXIE) accel-erator, a four-vane radio frequency quadrupole (RFQ) accelerates a 30-keV, 1-mA to 10-mA H' ion beam to 2.1 MeV. It is designed to operate at a frequency of 162.5 MHz with arbitrary duty factor, including continuous wave (CW) mode. The resonant frequency is controlled solely by a water-cooling system. We present an initial neural network model of the RFQ frequency response to changes in the cooling system and RF power conditions during pulsed operation. A neural network model will be used in a model predictive control scheme to regulate the resonant frequency of the RFQ.
DOI •	reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-THPOY020
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Paper

Title

Page

Resonant Control for Fermilab's PXIE RFQ

447

D.L. Bowring, B.E. Chase, J. Czajkowski, J.P. Edelen, D.J. Nicklaus, J. Steimel, T.J. Zuchnik
Fermilab, Batavia, Illinois, USA
S. Biedron, A.L. Edelen, S.V. Milton
CSU, Fort Collins, Colorado, USA

Funding: Work supported by Fermilab Research Alliance, LLC under Contract No. DE-AC02-07CH11359.
The RFQ for Fermilab's PXIE test program is designed to accelerate a < 10 mA H⁻ CW beam to 2.1 MeV. The RFQ has a four-vane design, with four modules brazed together for a total of 4.45 m in length. The RF power required is < 130 kW at 162.5 MHz. A 3 kHz limit on the maximum allowable frequency error is imposed by the RF amplifiers. This frequency constraint must be managed entirely through differential cooling of the RFQ's vanes and outer body and associated material expansion. Simulations indicate that the body and vane coolant temperature should be controlled to within 0.1 degrees C. We present the design of the cooling network and the resonant control algorithm for this structure, as well as results from initial operation.

DOI •

reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-MOPMW026

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THPOY020

Neural Network Modeling of the PXIE RFQ Cooling System and Resonant Frequency Response

4131

A.L. Edelen, S. Biedron, S.V. Milton
CSU, Fort Collins, Colorado, USA
D.L. Bowring, B.E. Chase, J.P. Edelen, J. Steimel
Fermilab, Batavia, Illinois, USA

As part of the PIP-II Injector Experiment (PXIE) accel-erator, a four-vane radio frequency quadrupole (RFQ) accelerates a 30-keV, 1-mA to 10-mA H' ion beam to 2.1 MeV. It is designed to operate at a frequency of 162.5 MHz with arbitrary duty factor, including continuous wave (CW) mode. The resonant frequency is controlled solely by a water-cooling system. We present an initial neural network model of the RFQ frequency response to changes in the cooling system and RF power conditions during pulsed operation. A neural network model will be used in a model predictive control scheme to regulate the resonant frequency of the RFQ.

DOI •

reference for this paper ※ DOI:10.18429/JACoW-IPAC2016-THPOY020

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