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RIS citation export for THP01: Norm Optimal Iterative Learning Control Design for J-PARC LINAC LLRF System

TY  - UNPB
AU  - Li, S.
ED  - Cheng, Yung-Sen
ED  - Schaa, Volker RW
ED  - Chiu, Pei-Chen
ED  - Li, Lu
ED  - Liu, Yung-Hui
ED  - Petit-Jean-Genaz, Christine
TI  - Norm Optimal Iterative Learning Control Design for J-PARC LINAC LLRF System
J2  - Proc. of PCaPAC2018, Hsinchu, Taiwan, 16-19 October 2018
CY  - Hsinchu, Taiwan
T2  - International Workshop on Emerging Technologies and Scientific Facilities Controls
T3  - 12
LA  - english
AB  - The beam current in J-PARC LINAC will increase to 60 mA in the future. In order to deal with more serious beam loading effect,an iterative learning control method was put forward. However, in previous method controller uses only proportional control. Taking into account the actual situation, its control performance still has room for improvement. For this reason, an iterative learning control based on norm optimization algorithm is applied to LLRF simulation model. The control method and result will be summarized in this paper.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
ER  -