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

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 barri...

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Main Authors: Bacco, Giacomo, Bianchi, Nicola, Mahmoud, Hanafy
Format: Article
Published: IEEE 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/52321/
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author Bacco, Giacomo
Bianchi, Nicola
Mahmoud, Hanafy
author_facet Bacco, Giacomo
Bianchi, Nicola
Mahmoud, Hanafy
author_sort Bacco, Giacomo
building Nottingham Research Data Repository
collection Online Access
description 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.
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institution University of Nottingham Malaysia Campus
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publishDate 2018
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spelling nottingham-523212020-05-04T19:32:46Z https://eprints.nottingham.ac.uk/52321/ A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines Bacco, Giacomo Bianchi, Nicola Mahmoud, Hanafy 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. IEEE 2018-02-20 Article PeerReviewed Bacco, Giacomo, Bianchi, Nicola and Mahmoud, Hanafy (2018) A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines. IEEE Transactions on Energy Conversion . ISSN 0885-8969 Electric machines AC motors Design tools Synchronous reluctance machine Analytical model Saturation https://ieeexplore.ieee.org/document/8295251/ doi:10.1109/TEC.2018.2808168 doi:10.1109/TEC.2018.2808168
spellingShingle Electric machines
AC motors
Design tools
Synchronous reluctance machine
Analytical model
Saturation
Bacco, Giacomo
Bianchi, Nicola
Mahmoud, Hanafy
A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title_full A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title_fullStr A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title_full_unstemmed A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title_short A nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
title_sort nonlinear analytical model for the rapid prediction of the torque of synchronous reluctance machines
topic Electric machines
AC motors
Design tools
Synchronous reluctance machine
Analytical model
Saturation
url https://eprints.nottingham.ac.uk/52321/
https://eprints.nottingham.ac.uk/52321/
https://eprints.nottingham.ac.uk/52321/