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Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor

Author

Listed:
  • Wenshao Bu

    (College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

  • Shihao Guo

    (College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

  • Zongang Fan

    (College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

  • Jinwei Li

    (College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China)

Abstract

The fuzzy controller is a popular choice for permanent magnet synchronous motor (PMSM) control systems because of its advantages, such as straightforward design, and no reliance on the precise mathematical model of the motor. But the existing pure PI-like fuzzy control strategy still has some disadvantages, such as poor adaptive ability and large overshooting. This work redevelops the structure and rules of the adaptive fuzzy controller, and proposes and proves an improved adaptive PI-like fuzzy control algorithm for the PMSM system. Firstly, a parallel dual fuzzy controller structure is constructed to facilitate the adaptive adjustment of the “PI-like fuzzy controller”. Secondly, the error acceleration parameter r v ( k ), which contains the PMSM speed information, is set and normalized to accurately identify the dynamic response stages of the PMSM system. Lastly, an adaptive fuzzy rule table is designed based on the dynamic response waveform of the PMSM system, and the control characterization is analyzed. The simulation and experimental results of the PMSM system show that the improved adaptive PI-like fuzzy controller has a broad dynamic adjustment range, the PMSM can rapidly and smoothly reach the given speed during the startup stage with small overshooting, the speed drop is low when the load is abruptly added, the PMSM system can quickly return to the steady state with a strong adaptive ability, and its dynamic performance indicators surpass those of the PID controller and traditional PI-like fuzzy controller.

Suggested Citation

  • Wenshao Bu & Shihao Guo & Zongang Fan & Jinwei Li, 2025. "Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 18(2), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:2:p:362-:d:1568119
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    References listed on IDEAS

    as
    1. Michal Gierczynski & Rafal Jakubowski & Emil Kupiec & Miroslaw Seredynski & Maciej Jaworski & Lech M. Grzesiak, 2024. "Modeling of the Fourth-Generation Toyota Prius Traction Machine as the Reference for Future Designs," Energies, MDPI, vol. 17(19), pages 1-23, September.
    2. Lei Zhang & Jiaqing Ma & Qinmu Wu & Zhiqin He & Tao Qin & Changsheng Chen, 2023. "Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control," Energies, MDPI, vol. 16(19), pages 1-12, October.
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