Giacomo Bacco
A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
Bacco, Giacomo; Bianchi, Nicola; Mahmoud, Hanafy
Authors
Nicola Bianchi
Hanafy Mahmoud
Abstract
The synchronous reluctance motor works under heavy saturation. This paper presents a nonlinear analytical model of the reluctance machine, which is used to derive both average and torque harmonics as a function of the rotor geometry. Maps showing the torque harmonics as a function of the rotor barrier angles are derived. These maps are useful tools for the machine designer to get a proper rotor geometry. The torque maps are compared with those obtained from both linear analytical and finite element models. The maps computed analytically show good agreement with those derived by means of finite element analysis, and they are obtained in a much smaller computing time.
Citation
Bacco, G., Bianchi, N., & Mahmoud, H. (2018). A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines. IEEE Transactions on Energy Conversion, 33(3), 1539-1546. https://doi.org/10.1109/TEC.2018.2808168
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 4, 2018 |
Online Publication Date | Feb 20, 2018 |
Publication Date | Sep 1, 2018 |
Deposit Date | Jun 11, 2018 |
Publicly Available Date | Jun 11, 2018 |
Journal | IEEE Transactions on Energy Conversion |
Print ISSN | 0885-8969 |
Electronic ISSN | 1558-0059 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 33 |
Issue | 3 |
Pages | 1539-1546 |
DOI | https://doi.org/10.1109/TEC.2018.2808168 |
Keywords | Electric machines, AC motors, Design tools, Synchronous reluctance machine, Analytical model, Saturation |
Public URL | https://nottingham-repository.worktribe.com/output/912318 |
Publisher URL | https://ieeexplore.ieee.org/document/8295251/ |
Additional Information | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Contract Date | Jun 11, 2018 |
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