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RIS citation export for THPTS022: The Realization of Iterative Learning Control for J-PARC LINAC LLRF Control System

AU  - Li, S.
AU  - Fang, Z.
AU  - Fukui, Y.
AU  - Futatsukawa, K.
AU  - Qiu, F.
AU  - Sato, Y.
AU  - Shinozaki, S.
ED  - Boland, Mark
ED  - Tanaka, Hitoshi
ED  - Button, David
ED  - Dowd, Rohan
ED  - Schaa, Volker RW
ED  - Tan, Eugene
TI  - The Realization of Iterative Learning Control for J-PARC LINAC LLRF Control System
J2  - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019
CY  - Melbourne, Australia
T2  - International Particle Accelerator Conference
T3  - 10
LA  - english
AB  - The beam current of j-parc linac was planned to increase to 60 mA. The stronger beam current will lead to higher beam loading effect. Due to the low Q factor of cavity in high β section of linac, the traditional PID feedback & feedforward control method may have to face huge challenges. In order to make the system run better at 60 mA, the iterative learning control (ILC) method was put forward to use in LLRF control system. All the ILC operations are done in EPICS-PC. By installing the PyEpics module, we can use python programs to realize the data interaction between EPICS system and PC and further realize the ILC algorithm. In this paper, the architecture of ILC methods will be introduced. The performance of ILC method will be reported.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 4155
EP  - 4157
KW  - controls
KW  - linac
KW  - experiment
DA  - 2019/06
PY  - 2019
SN  - 978-3-95450-208-0
DO  - DOI: 10.18429/JACoW-IPAC2019-THPTS022
UR  - http://jacow.org/ipac2019/papers/thpts022.pdf
ER  -