Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

A Method of Speed Estimation with Stator Resistance Online Identification Based on MRAS

Authors
Jun Tong, Lei Sun, Haoxiang Cao
Corresponding Author
Jun Tong
Available Online November 2016.
DOI
10.2991/icimm-16.2016.30How to use a DOI?
Keywords
induction motor, speed sensor-less, speed estimation, stator resistance online identification, model reference adaptive system(MRAS).
Abstract

It is important to accurately estimate the speed for induction motor speed sensor-less control technology. According to the drawbacks of traditional model reference adaptive system (MRAS), this paper presents an improved estimation model, which can effectively eliminate the DC drift and the initial value problems caused by pure Integrator. On this basis, it analyzes the influence of variable stator resistance on the speed estimation and makes stator resistance online identification to update stator resistance changed by temperature and ensure the accuracy of speed estimation. The simulation and experimental results show the rationality and effectiveness of the method.

Copyright
© 2016, 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 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
10.2991/icimm-16.2016.30How to use a DOI?
Copyright
© 2016, 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  - Jun Tong
AU  - Lei Sun
AU  - Haoxiang Cao
PY  - 2016/11
DA  - 2016/11
TI  - A Method of Speed Estimation with Stator Resistance Online Identification Based on MRAS
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 143
EP  - 149
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.30
DO  - 10.2991/icimm-16.2016.30
ID  - Tong2016/11
ER  -