Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Design and Simulation Analysis of 55kw 12/8 Switched Reluctance Motor for Air Compressor

Authors
Hongxia Yang, Huiqin Sun, Hua Meng
Corresponding Author
Hongxia Yang
Available Online June 2017.
DOI
10.2991/caai-17.2017.32How to use a DOI?
Keywords
air compressor; switched reluctance motor; radial force; parameter analysis; air gap
Abstract

The vibration and noise of switched reluctance motor are too large, which becomes an obstacle to the application of switched reluctance motor in air compressor. In this paper, a 55 kw 12/8 switched reluctance motor(SRM) for air compressor was designed, and static simulation analysis was carried out on the basis of finite element analysis software ANSOFTMAXWELL 2D, and the characteristic curve of the motor was obtained. The noise source of the SRM was analyzed, and the radial electromagnetic force was numerically calculated and obtained the air gap is the main structural parameter which affect the vibration of the motor. The air gap was parameterized and and the result provides the basis for optimization of motor parameters.

Copyright
© 2017, 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 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.32
ISSN
1951-6851
DOI
10.2991/caai-17.2017.32How to use a DOI?
Copyright
© 2017, 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  - Hongxia Yang
AU  - Huiqin Sun
AU  - Hua Meng
PY  - 2017/06
DA  - 2017/06
TI  - Design and Simulation Analysis of 55kw 12/8 Switched Reluctance Motor for Air Compressor
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 152
EP  - 155
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.32
DO  - 10.2991/caai-17.2017.32
ID  - Yang2017/06
ER  -