Synchronous reluctance motor iron losses: considering machine non-linearity at MTPA, FW, and MTPV operating conditions

Mahmoud, Hanafy, Bacco, Giacomo, Degano, Michele, Bianchi, Nicola and Gerada, C. (2018) Synchronous reluctance motor iron losses: considering machine non-linearity at MTPA, FW, and MTPV operating conditions. IEEE Transactions on Energy Conversion . ISSN 0885-8969

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Synchronous reluctance machine has high flux density fluctuations in the iron due to the high harmonics results from the rotor anisotropy. Thus, an accurate computation of the iron losses is of paramount importance, especially during the design stage. In this paper, a non-linear analytical model considering the magnetic iron saturation and the slotting effect is proposed. The model estimates accurately the iron losses at a wide range of operating speed. In addition, the accuracy of the non-linear model when the machine is highly saturated, i.e. when it works along the MTPA trajectory, is presented and verified. The model presented is general and can be applied to other configurations. A 36-slot four-pole machine, with three flux-barriers per pole is considered as a case study. Finite element analysis is used to validate the results achieved by means of the non-linear analytical model. Furthermore, an experimental setup is built to validate the simulation results.

Item Type: Article
Additional Information: c2018 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.
Keywords: Synchronous reluctance machine; Iron saturation; Non-linear analytical models; Iron losses computation; Finite element analysis
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
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Depositing User: Burns, Rebecca
Date Deposited: 05 Mar 2018 13:34
Last Modified: 06 Mar 2018 03:10

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