Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

An Adaptive Sensorless Control for Permanent Magnet Synchronous Motor Drive in Eelectric Vehicle

Authors
Shaofang Wu, Jianwu Zhang, Xiwen Wang, Linyong Chen
Corresponding Author
Shaofang Wu
Available Online June 2017.
DOI
10.2991/ammee-17.2017.66How to use a DOI?
Keywords
Adaptive observer, sensorless, permanent magnet, electric vehicle.
Abstract

This paper presents an adaptive sensorless control for permanent magnet synchronous motor in the electric vehicles drive system. Using stator currents, voltage and speed measurements, a new nonlinear adaptive position observer for the permanent magnet synchronous motor is designed. Convergence of the position observer is guaranteed. With the position information provided by the observer, control scheme is implemented in the field-oriented strategy to adjust the motor torque or rotor speed to propel the vehicle. Simulations are carried out to test the sensorless control and results show that the proposed method performs effectively to regulate the drive system of the electric vehicle.

Copyright
© 2017, 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 Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.66How to use a DOI?
Copyright
© 2017, 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  - Shaofang Wu
AU  - Jianwu Zhang
AU  - Xiwen Wang
AU  - Linyong Chen
PY  - 2017/06
DA  - 2017/06
TI  - An Adaptive Sensorless Control for Permanent Magnet Synchronous Motor Drive in Eelectric Vehicle
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 351
EP  - 354
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.66
DO  - 10.2991/ammee-17.2017.66
ID  - Wu2017/06
ER  -