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Improved rotor position estimation in sensorless-controlled permanent-magnet synchronous machines having asymmetric-EMF with harmonic compensation

journal contribution
posted on 12.09.2017, 11:49 authored by Tzu-Chi Lin, Zi-Qiang Zhu, J.M. Liu
This paper investigates the performance of sensorless control of switched-flux permanent-magnet synchronous machines (SFPM) with different stator winding topologies, such as all poles wound (double-layer winding) and alternate poles wound (single-layer winding), whose back electromotive force (EMF) exhibit different waveform characteristics, i.e., sinusoidal, asymmetric, and non-sinusoidal waves. Most importantly, it is found that the single-layer SFPM machine is with asymmetric back-EMFs, due to which the performance of sensorless control will deteriorate. In order to minimize this influence, a control strategy is developed for the improvement of accuracy of rotor position estimation, which is based on the elimination of back-EMF harmonics and not sensitive to the machine parameters. In addition, it also shows that the developed strategy is easy for implementation and the experimental results confirm that the influence of asymmetric and non-sinusoidal back-EMF can be effectively compensated. Consequently, an improvement in the accuracy of rotor position estimation is achieved at both steady and dynamic states as compared with those conventionalmethods without compensation.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Industrial Electronics

Volume

62

Issue

10

Pages

6131 - 6139

Citation

LIN, T., ZHU, Z. and LIU, J., 2015. Improved rotor position estimation in sensorless-controlled permanent-magnet synchronous machines having asymmetric-EMF with harmonic compensation. IEEE Transactions on Industrial Electronics, 62 (10), pp.6131-6139.

Publisher

© IEEE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

ISSN

0278-0046

eISSN

1557-9948

Language

en

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