Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Rotor Position And Velocity Estimation Of SMO Based On PLL

Authors
Xueliang Ren, Mingjiang Wang, Jun Chen
Corresponding Author
Xueliang Ren
Available Online March 2018.
DOI
https://doi.org/10.2991/mecae-18.2018.51How to use a DOI?
Keywords
Field-oriented control, Sliding mode observer, PLL, Sensorless control
Abstract
In this paper, a sliding mode observer (SMO) based on PLL and rotary coordinate is designed for sensorless control of permanent magnet synchronous motors (PMSM). By the proposed SMO algorithm, the control system has a better dynamic performance?And the rotor speed error, the estimated speed, the rotor position error and the estimated rotor position are more accurate. The waveform is smoother and easier to distinguish.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-493-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecae-18.2018.51How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xueliang Ren
AU  - Mingjiang Wang
AU  - Jun Chen
PY  - 2018/03
DA  - 2018/03
TI  - Rotor Position And Velocity Estimation Of SMO Based On PLL
BT  - 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.51
DO  - https://doi.org/10.2991/mecae-18.2018.51
ID  - Ren2018/03
ER  -