@inproceedings{906e8dd148874cd6ae3dd026783d7256,
title = "Combined Model-Compensated and Quasi-Resonant Linear Active Disturbance Rejection Control for PMSM Drives",
abstract = "When operating at ultra-low speeds, Permanent Magnet Synchronous Motor (PMSM) is subject to disturbances such as non-linear frictional torque and periodic disturbance torque. These uncertain disturbances can cause fluctuations in speed, which deteriorate the speed loop performance. To address the problem, this paper proposed a linear active disturbance rejection control strategy (LADRC) that combined model-compensation and quasi-resonant control. The Stribeck model was chosen to estimate the non-linear frictional torque and input it into the linear expanding state observer (LESO) to reduce the estimation burden of LESO; The introduction of a quasi-resonant term (QR) in LESO improves the suppression of periodic harmonics in the mid-frequency band by linear active disturbance rejection control. Finally, the effectiveness of the proposed control strategy is verified by simulation experiments.",
keywords = "LADRC, Model-compensation, PMSM, QR-control",
author = "Songtao Chen and Xuefei Mao and Lei Zhao and Shuoyu Wang and Jiyang Zhang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",
year = "2023",
doi = "10.1109/CAC59555.2023.10451842",
language = "English",
series = "Proceedings - 2023 China Automation Congress, CAC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1399--1405",
booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",
address = "United States",
}