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.
@article{arxiv.1612.07237,
title = {Neural Network Model Of The PXIE RFQ Cooling System and Resonant Frequency Response},
author = {A. L. Edelen and S. G. Biedron and S. V. Milton and D. Bowring and B. E. Chase and J. P. Edelen and J. Steimel},
journal= {arXiv preprint arXiv:1612.07237},
year = {2016}
}
Comments
3 pp. Proceedings of the 2016 International Particle Accelerator Conference (IPAC), May 8-13, 2016