@inproceedings{d024f52b5ae84aeaa131e52537d4408a,
title = "Improved sensorless control method combining SMO and MRAS for surface PMSM drives",
abstract = "This paper proposes a sensorless speed control method combining sliding mode observer (SMO) and model reference adaptive system (MRAS) for the surface permanent magnet synchronous motor drives. This hybrid method can guarantee the convergence of both speed and position estimation simultaneously. In order to eliminate the torque fluctuations and mitigate the influence of harmonic components in the estimated back electromotive force (back-EMF) for SMO, a frequency variable stator current tracker (FVT) based on output regulation is proposed. It can estimate the back-EMF accurately. The improved control method provides high accuracy in estimating the rotor position and speed. Simulation results are provided to further validate the proposed rotor position and speed estimation schemes under different speed. It is worth of mentioning that the improved control method can still maintain high estimation accuracy of rotor speed and position at low speed.",
keywords = "Frequency variable error tracker, MRAS, Output regulation, SMO, Sensorless speed control",
author = "Danyang Bao and Yi Wang and Xuewei Pan and Xinshuo Wang and Ke Li",
note = "Publisher Copyright: {\textcopyright} IEEE.; 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 ; Conference date: 01-10-2017 Through 05-10-2017",
year = "2017",
month = nov,
day = "8",
doi = "10.1109/IAS.2017.8101744",
language = "英语",
series = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
address = "美国",
}