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TY - CONF AU - Edelen, A.L. AU - Biedron, S. AU - Bowring, D.L. AU - Chase, B.E. AU - Edelen, J.P. AU - Milton, S.V. AU - Steimel, J. ED - Petit-Jean-Genaz, Christine ED - Kim, Dong Eon ED - Kim, Kyung Sook ED - Ko, In Soo ED - Schaa, Volker RW TI - Neural Network Modeling of the PXIE RFQ Cooling System and Resonant Frequency Response J2 - Proc. of IPAC2016, Busan, Korea, May 8-13, 2016 C1 - Busan, Korea T2 - International Particle Accelerator Conference T3 - 7 LA - english AB - 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. PB - JACoW CP - Geneva, Switzerland SP - 4131 EP - 4133 KW - rfq KW - network KW - controls KW - cavity KW - operation DA - 2016/06 PY - 2016 SN - 978-3-95450-147-2 DO - 10.18429/JACoW-IPAC2016-THPOY020 UR - http://jacow.org/ipac2016/papers/thpoy020.pdf ER -