Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

Research on Sensorless Composite Position Identification Method for PMSM

Authors
Gao-Yang Chen, Hong Li
Corresponding Author
Gao-Yang Chen
Available Online July 2019.
DOI
10.2991/eee-19.2019.30How to use a DOI?
Keywords
Sensorless, High frequency injection, Permanent magnet synchronous motor, Sliding mode observer
Abstract

Both the high frequency pulsation signal injection method and sliding mode observer (SMO) can be utilized to identify the position of permanent magnet synchronous motor (PMSM) sensorless system. When the speed of motor runs high, the high-frequency signal injection method is no longer utilized. When the speed of motor runs low, the rotor position signal cannot be accurately detected because of the weak back-EMF signal, so SMO is not used. For the sake of effectively identify the rotor position in full speed range, a composite identification method combining the high frequency injection and SMO is adopted. Therefore, two identification methods need to be switched in the full speed range. The weighted switching function is used to identify the rotor position, so that that rotor position error estimate by the sensorless PMSM in the full speed range is smaller. The results of simulation verify the availability of this method.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
10.2991/eee-19.2019.30How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gao-Yang Chen
AU  - Hong Li
PY  - 2019/07
DA  - 2019/07
TI  - Research on Sensorless Composite Position Identification Method for PMSM
BT  - Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
PB  - Atlantis Press
SP  - 174
EP  - 180
SN  - 2352-5401
UR  - https://doi.org/10.2991/eee-19.2019.30
DO  - 10.2991/eee-19.2019.30
ID  - Chen2019/07
ER  -