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

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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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  -