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A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines

Bacco, Giacomo; Bianchi, Nicola; Mahmoud, Hanafy

Authors

Giacomo Bacco

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 0885-8969
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.

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