Brushless DC motor control research based on extended Kalman filter algorithm

Jiali Xu; Yusheng Ju

doi:10.1117/12.2646868

7 September 2022 Brushless DC motor control research based on extended Kalman filter algorithm

Jiali Xu, Yusheng Ju

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232929 (2022) https://doi.org/10.1117/12.2646868
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

The torque pulsation generated by brushless DC motors during motion can lead to reduced system stability and reliability, as well as mechanical vibration, resonance and noise problems. And they require the installation of position sensors to provide commutation signals, which in turn increases the complexity and cost of the motor structure. To address these problems, a research strategy combining traditional dual closed-loop control with the extended Kalman filtering algorithm is proposed based on the study of traditional motor control. On the basis of the traditional double closed-loop control system, a feedback signal processed by extended Kalman filter algorithm is added.The simulation results show that this strategy can get accurate estimation of speed and rotor position, and the system with the extended Kalman filtering algorithm is more stable and better controlled when the motor speed is given and changed.

Citation Download Citation

Jiali Xu and Yusheng Ju "Brushless DC motor control research based on extended Kalman filter algorithm", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232929 (7 September 2022); https://doi.org/10.1117/12.2646868

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