Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Fuzzy Neural Network Research of Direct Torque Control under Low-speed

Authors
Lian Zhang, Xiaoqian Hu, Yuhang Tan
Corresponding Author
Lian Zhang
Available Online April 2015.
DOI
10.2991/meic-15.2015.135How to use a DOI?
Keywords
asynchronous motor; direct torque control; fuzzy control; neural network; simulation
Abstract

Aiming at the rapid response and speed ripple of direct torque control of asynchronous motor, a fuzzy neural network algorithm based on stator flux model is proposed to achieve the selecting of switch state under low-speed. By using automatic generation of fuzzy neural network algorithm, real-time adjustment of membership function and fuzzy rules, the fuzzy neural network is trained to study network parameters and structure. The simulation results show that the speed control system has desirable dynamic and steady-state performances under the low-speed.

Copyright
© 2015, 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 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/meic-15.2015.135
ISSN
2352-5401
DOI
10.2991/meic-15.2015.135How to use a DOI?
Copyright
© 2015, 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  - Lian Zhang
AU  - Xiaoqian Hu
AU  - Yuhang Tan
PY  - 2015/04
DA  - 2015/04
TI  - Fuzzy Neural Network Research of Direct Torque Control under Low-speed
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 594
EP  - 597
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.135
DO  - 10.2991/meic-15.2015.135
ID  - Zhang2015/04
ER  -