Research on multi-motor speed synchronous control based on mean coupling control

Xiong Wu; Shouqi Wei; Jinwei You; Jianquan Sun

doi:10.1117/12.3014796

4 March 2024 Research on multi-motor speed synchronous control based on mean coupling control

Xiong Wu, Shouqi Wei, Jinwei You, Jianquan Sun

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298161 (2024) https://doi.org/10.1117/12.3014796
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

In order to improve the tracking and synchronization performance of multi-motor synchronous system after disturbance in steady state operation, a multi-motor control system was proposed. Firstly, the multi-motor speed synchronization control structure was designed based on the traditional mean coupling control (MCC) structure. Then the particle swarm optimization and the improved variable speed integral term were introduced into it to optimize the regular compensation factors and the parameters of PI controller. The improved system was called MCC_PSO system. In MATLAB/Simulink, we chose three permanent magnet synchronous motors (PMSM) to build the multi-motor synchronous control system model and from the results we can know the improved synchronous control system is superior to the traditional control system in both tracking performance and synchronization performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiong Wu, Shouqi Wei, Jinwei You, and Jianquan Sun "Research on multi-motor speed synchronous control based on mean coupling control", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298161 (4 March 2024); https://doi.org/10.1117/12.3014796

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