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arXiv · 1612.07237

Neural Network Model Of The PXIE RFQ Cooling System and Resonant Frequency Response

A. L. Edelen·S. G. Biedron·S. V. Milton·D. Bowring·B. E. Chase·J. P. Edelen·J. Steimel
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Abstract

As part of the PIP-II Injector Experiment (PXIE) accelerator, 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.

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A. L. Edelen, S. G. Biedron, S. V. Milton, D. Bowring, B. E. Chase, J. P. Edelen, J. Steimel. 2016-12-21. Neural Network Model Of The PXIE RFQ Cooling System and Resonant Frequency Response. https://arxiv.org/abs/1612.07237

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