Cryogenic ground support equipment (CGSE) is an important part of a famous particle physics experiment
— AMS-02. In this paper a design method which optimizes PID parameters of CGSE control system via
the particle swarm optimization (PSO) algorithm is presented. Firstly, an improved version of the original PSO,
cooperative random learning particle swarm optimization (CRPSO), is put forward to enhance the performance
of the conventional PSO. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally,
the experimental results and practical works demonstrate that the CRPSO-PID controller achieves a good
performance.
LI Xiang-bao* (李祥宝), JI Rui (季睿), YANG Yu-pu (杨煜普)
. Optimization for PID Controller of Cryogenic Ground Support Equipment Based on Cooperative Random Learning Particle Swarm Optimization[J]. Journal of Shanghai Jiaotong University(Science), 2013
, 18(2)
: 140
-146
.
DOI: 10.1007/s12204-013-1376-3
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