Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)

Design and Implementation of Stator Resistance Identifier Based on Fuzzy Control

Authors
Lianfei Wang
Corresponding Author
Lianfei Wang
Available Online June 2018.
DOI
10.2991/mcei-18.2018.5How to use a DOI?
Keywords
Stator resistance;Fuzzy control;Robustness
Abstract

The change of stator resistance has an important influence on the performance of asynchronous motor direct torque control system. Accurate acquisition of stator resistance is very important in high-performance motor control system. According to fuzzy control theory, we devise a stator resistance identifier. On this basis, the direct torque control system of asynchronous motor is designed by using MATLAB software. At the same time, through this simulation, we find the error of identified stator resistance is small, the system respond is quick, and the robustness is good.

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 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
Series
Advances in Computer Science Research
Publication Date
June 2018
ISBN
978-94-6252-532-0
ISSN
2352-538X
DOI
10.2991/mcei-18.2018.5How 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  - Lianfei Wang
PY  - 2018/06
DA  - 2018/06
TI  - Design and Implementation of Stator Resistance Identifier Based on Fuzzy Control
BT  - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SP  - 20
EP  - 27
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.5
DO  - 10.2991/mcei-18.2018.5
ID  - Wang2018/06
ER  -