Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)

Rotor Speed and Rotor Position Estimation Based on MRAS

Authors
Xueliang Ren, Mingjiang Wang, Jun Chen
Corresponding Author
Xueliang Ren
Available Online May 2018.
DOI
10.2991/meees-18.2018.1How to use a DOI?
Keywords
Sensorless Method; Rotor Speed and Position; Estimation Error; MRAS.
Abstract

In the traditional mechanical equipment, the motor is generally equipped with sensors for measuring the speed and position information of the motor. However, installation of sensors increases the structure burden. In this paper, a sensorless method is proposed for measurement of rotor speed and position. The proposed method is MRAS. It can quickly detect the rotor position information and speed information. As the speed increases and the speed estimation error gradually decreases after stable operation, the estimation error of the rotor position also gradually decreases.

Copyright
© 2018, 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 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/meees-18.2018.1
ISSN
2352-5401
DOI
10.2991/meees-18.2018.1How to use a DOI?
Copyright
© 2018, 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  - Xueliang Ren
AU  - Mingjiang Wang
AU  - Jun Chen
PY  - 2018/05
DA  - 2018/05
TI  - Rotor Speed and Rotor Position Estimation Based on MRAS
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.1
DO  - 10.2991/meees-18.2018.1
ID  - Ren2018/05
ER  -