Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Fuzzy Control for Dual-stator Toroidal Motor with Hybrid Excitation

Authors
Xin Liu, Yang Yang Wang
Corresponding Author
Xin Liu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.303How to use a DOI?
Keywords
Fuzzy Control, Dual-stator, Toroidal Motor, Hybrid Excitation.
Abstract

Dual-stator toroidal motor with hybrid excitation is a new-style motor, it integrates power and drive function. The mathematic model of the motor system was derived based on the operating principle of the motor. In order to improve the response characteristic of toroidal motor, a fuzzy self-tuning PID control system was presented and a fuzzy controller was designed based on fuzzy control rules. The response of fuzzy control system with disturbance was simulated. The comparison results justify the better anti-interference ability of the toroidal motor with fuzzy control system. The research is useful for further controller design and practical application of the novel motor.

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 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.303
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.303How 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  - Xin Liu
AU  - Yang Yang Wang
PY  - 2016/04
DA  - 2016/04
TI  - Fuzzy Control for Dual-stator Toroidal Motor with Hybrid Excitation
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.303
DO  - 10.2991/ameii-16.2016.303
ID  - Liu2016/04
ER  -