Sensorless control of permanent magnet synchronous motor based on UKF

Fu Yang; Binbin Li; Zhigao Chen; Tangjia Xie; Mengna Li

doi:10.1117/12.3008980

27 October 2023 Sensorless control of permanent magnet synchronous motor based on UKF

Fu Yang, Binbin Li, Zhigao Chen, Tangjia Xie, Mengna Li

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292218 (2023) https://doi.org/10.1117/12.3008980
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

In order to solve the problems of high cost, large volume and difficult maintenance when traditional mechanical sensors are used in permanent magnet synchronous motor, a sensorless system model of permanent magnet synchronous motor based on untracked Kalman observer is established in this paper, and the running state of permanent magnet synchronous motor is predicted by untracked Kalman algorithm to achieve closed-loop control. The simulation results show that the traceless Kalman observer has the advantages of accurate prediction, good dynamic and static performance, and strong anti-interference ability. It solves the defects of traditional permanent mechanical sensors to a large extent and has great application prospects in the future.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fu Yang, Binbin Li, Zhigao Chen, Tangjia Xie, and Mengna Li "Sensorless control of permanent magnet synchronous motor based on UKF", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292218 (27 October 2023); https://doi.org/10.1117/12.3008980

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