PMSM vector control based on improved grey predictive fuzzy PID

Wanjin He; Liang Huang

doi:10.1117/12.2646787

7 September 2022 PMSM vector control based on improved grey predictive fuzzy PID

Wanjin He, Liang Huang

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123290M (2022) https://doi.org/10.1117/12.2646787
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

Aiming at the nonlinear characteristics of PMSM vector control system, such as slow response speed, poor steady-state performance and external disturbance, a method based on fuzzy PID controller is proposed to control PMSM. And by improving the grey predictive control, the feedback data of the controller is predicted in advance, and the fuzzy control system is further improved. The simulation results show that the fuzzy PID controller based on the improved grey prediction improves the control accuracy and response speed of the PMSM control system, reduces the overshoot of the system, and improves the robustness of the vector control system.

Citation Download Citation

Wanjin He and Liang Huang "PMSM vector control based on improved grey predictive fuzzy PID", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123290M (7 September 2022); https://doi.org/10.1117/12.2646787

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