A Fast Agfd Identification Method And The Resulting Air-Gap Force Analysis Of Cage Induction Motors With Skewed Rotor Bars
Keywords
2-D multi-slice FEM; air-gap flux density; air-gap force; skewed rotor bars; starting torque
Abstract
The induction motor with skewed rotor bars is an effective motor structure for eliminating the slot harmonic fields, and the resulting noise and vibration. 2-D multi-slice finite element method (FEM) is typically used to analyze the performance of the induction motor with skewed rotor bars. However, in order to achieve high accuracy, the number of the slices is generally very high, which is also a time-consuming work. In this paper, a fast identification method of air-gap flux density (AGFD) is proposed. In the proposed method, the AGFD calculated by the 2-D multi-slice FEM is post-processed by a skewed factor. In order to achieve a relatively high accuracy, the number of slices of the 2-D multi-slice FE models can be significantly reduced by using the proposed method. And in this paper, based on the proposed method, the influence of the skewed rotor bars on the air-gap force of a 5.5 kW motor are also studied.
Publication Date
12-15-2017
Publication Title
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume
2017-January
Number of Pages
1680-1685
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/IECON.2017.8216285
Copyright Status
Unknown
Socpus ID
85046746090 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85046746090
STARS Citation
Zhang, Dongdong; Shi, Jing; and Wu, Thomas, "A Fast Agfd Identification Method And The Resulting Air-Gap Force Analysis Of Cage Induction Motors With Skewed Rotor Bars" (2017). Scopus Export 2015-2019. 7014.
https://stars.library.ucf.edu/scopus2015/7014