Article Details

Abstract

In response to the problems of fixed control parameters, slow response speed, and poor anti-interference ability of PID controllers, a simulation model of a dual closed-loop control system for a Permanent Magnet Synchronous Motor (PMSM) is established using the SVPWM control strategy. Two control strategies, traditional PI control and fuzzy control, are designed for the speed controller. Through simulation experiments on the sudden increase in load torque of the PMSM, the results show that traditional control methods have relatively poor adaptability to the system due to constant controller parameters, and their robustness and adaptability need to be improved. Fuzzy control adaptively performs the control function according to changes in the output, effectively improving the robustness and response speed of the system. Conventional control needs 0.1 s to track the given signal, while fuzzy control tracks the given signal in just a few milliseconds, demonstrating strong anti-interference ability and control performance.

Keywords

Permanent Magnet Synchronous Motor; fuzzy control; vector control; SVPWM modulation

References

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Funding

Key Research Project of Anhui Provincial Department of Education (KJ2020A0912); 2025 Anhui Vocational and Adult Education Association Education Research Planning Project (AZCJ2025332)

About the authors

Zhang Songlan (May 1973-), female, Han ethnicity, from Huaining, Anhui, professor, master's student, research interests include artificial intelligence and complex system simulation.