Research on PMSM Speed Control System Based on Adaptive Fuzzy Control | Zendy

Shengjian Liu | Zendy; Jianmin Wang | Zendy; Zhiyuan Zheng | Zendy

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Research on PMSM Speed Control System Based on Adaptive Fuzzy Control

Author(s) -

Shengjian Liu,

Jianmin Wang,

Zhiyuan Zheng

Publication year - 2021

Publication title -

journal of physics conference series

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.21

H-Index - 85

eISSN - 1742-6596

pISSN - 1742-6588

DOI - 10.1088/1742-6596/1732/1/012156

Subject(s) - control theory (sociology) , electronic speed control , overshoot (microwave communication) , robustness (evolution) , vector control , computer science , servomechanism , fuzzy logic , pid controller , fuzzy control system , control engineering , current loop , control system , engineering , current (fluid) , control (management) , induction motor , temperature control , telecommunications , biochemistry , chemistry , electrical engineering , voltage , artificial intelligence , gene

PMSM servo system has nonlinear, parameter time-varying, load disturbance and other issues. In the face of these problems, traditional PI control strategies often fail to achieve ideal parameter tracking and load immunity, showing a large degree of limitations. Aiming at this kind of problem, this paper designs a fuzzy PI control method combining PI control and fuzzy control, and uses the vector rotation control method of current speed double closed loop to drive the permanent magnet synchronous motor for control. Finally, the traditional PI control system and fuzzy PI control system simulation model are built in Matlab/Simulink environment. The simulations were carried out in three cases of high speed, medium speed and low speed, and the speed and current waveforms of the two control methods were observed. The simulation results show that the fuzzy PI control system can increase the response rate, reduce the overshoot of the speed and reduce the current fluctuation in the full speed range. The robustness of the system is improved, the adaptability of the system to load changes is enhanced, and the correctness of the theoretical analysis is verified.

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