中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on PMSM Vector Control System Based on Fuzzy PI Parameter Self-Tuning

文献类型:会议论文

作者Ding, Jianhua5; Zhang T(张涛)o1,2,3,4; Tao, Ran5; Wang AN(王安娜)5
出版日期2020
会议日期December 25-27, 2020
会议地点Virtual, Chengdu, China
关键词PMSM vector control Fuzzy PI parameter self-tuning
页码305-310
英文摘要Based on the analysis of the permanent magnet synchronous motor (PMSM) mathematical model, a PMSM rotor field-oriented double closed-loop vector control system is constructed. Aiming at the defects of slow speed response, large overshoot, severe torque ripple, and poor anti-disturbance ability in the traditional PI controller used in the system speed loop, a fuzzy PI parameter self-tuning controller is proposed. The controller can set the two parameters of proportional and integral online according to fuzzy control rules. The system simulation model is built based on Matlab/Simulink. The simulation results show that the fuzzy PI parameter self-tuning controller has the advantages of fast dynamic response, high steady-state precision and strong anti-disturbance capability.
源文献作者IEEE ; IEEE Power and Energy Society ; University of Electronic Science and Technology of China
产权排序2
会议录2020 10th International Conference on Power and Energy Systems, ICPES 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-0-7381-4255-5
源URL[http://ir.sia.cn/handle/173321/28362]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Ding, Jianhua
作者单位1.School of Electrical Engineering, Dalian University of Technology, Dalian, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
4.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, China
5.Northeastern University, College of Information Science and Engineering, Shenyang, China
推荐引用方式
GB/T 7714
Ding, Jianhua,Zhang T,Tao, Ran,et al. Research on PMSM Vector Control System Based on Fuzzy PI Parameter Self-Tuning[C]. 见:. Virtual, Chengdu, China. December 25-27, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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