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基于RBF-PID的超导变压器励磁电源控制系统研究
引用本文:张舒庆,刘方,李童,李方逸,秦经刚.基于RBF-PID的超导变压器励磁电源控制系统研究[J].低温物理学报,2019,41(6):421-427.
作者姓名:张舒庆  刘方  李童  李方逸  秦经刚
作者单位:安徽大学物质科学与信息技术研究院,合肥230601;中国科学院等离子体物理研究所,合肥230031;中国科学院等离子体物理研究所,合肥230031
基金项目:中国科学院战略性先导科技专项;资助的课题
摘    要:超导导体测量装置中的超导变压器由于次级线圈接头电阻的损耗会引起次级电流的衰减,为了克服次级电流衰减的影响,改善超导变压器的输出性能.对超导变压器原理进行分析,建立超导变压器数学模型,采用一种基于RBF-PID算法对超导变压器励磁电源进行控制.在MATLAB/Simulink中搭建超导变压器控制系统仿真模型,结果表明,与传统PID控制系统相比,RBF-PID控制系统的响应速度更快,超调量更小,鲁棒性能更好.

关 键 词:RBF神经网络  超导变压器  RBF-PID

Research on Control System of Superconducting Transformer Excitation Power Based on RBF-PID
ZHANG Shuqing,LIU Fang,LI Tong,LI Fangyi and QIN Jinggang.Research on Control System of Superconducting Transformer Excitation Power Based on RBF-PID[J].Chinese Journal of Low Temperature Physics,2019,41(6):421-427.
Authors:ZHANG Shuqing  LIU Fang  LI Tong  LI Fangyi and QIN Jinggang
Institution:Institute of Physical Science and InformationTechnology, Anhui University, Hefei 230601, China;Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China,Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China,Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China,Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China and Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China
Abstract:Attenuation in the secondary current may occur in superconducting transformer of the superconducting conductor measuring device due to the resistance loss of secondary coil joints. In order to overcome the influence of secondary current reducing and improve output performance of the superconducting transformer, the author of this paper analyzes principles of superconducting transformer, sets up the mathematical model of superconducting transformer, adopts the RBF-PID algorithm to control the excitation power supply of superconducting transformer. By establishing simulation model of superconducting transformer control system in MATLAB/Simulink, results show that compared with traditional PID control system, the RBF-PID control system comes with faster response, smaller over shoot and better robustness.
Keywords:RBF neural network  Superconducting transformer  RBF-PID
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