摘要
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.
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. Fi- nally, the experimental results and practical works demonstrate that the CRPSO-PID controller achieves a good performance.
基金
the National Basic Research Program (973) of China (No. 2004CB720703)
