Synchronous Reluctance Motor Iron Losses: Considering Machine Nonlinearity at MTPA, FW, and MTPV Operating Conditions

Hanafy Mahmoud, Giacomo Bacco, Michele Degano, Nicola Bianchi, Chris Gerada

Research output: Journal PublicationArticlepeer-review

20 Citations (Scopus)

Abstract

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 nonlinear 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 nonlinear model when the machine is highly saturated, i.e., when it works along the maximum torque per ampere (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 nonlinear analytical model. Furthermore, an experimental setup is built to validate the simulation results.

Original languageEnglish
Article number8305613
Pages (from-to)1402-1410
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume33
Issue number3
DOIs
Publication statusPublished - Sep 2018

Keywords

  • Finite element analysis
  • iron losses computation
  • iron saturation
  • nonlinear analytical models
  • synchronous reluctance machine

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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