4.4 Article

Accurate Analytical Model for Synchronous Reluctance Machine With Multiple Flux Barriers Considering the Slotting Effect

期刊

IEEE TRANSACTIONS ON MAGNETICS
卷 58, 期 9, 页码 -

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMAG.2022.3189483

关键词

Rotors; Magnetic flux; Air gaps; Stator windings; Torque; Analytical models; Finite element analysis; Air-gap flux density; analytical model (AM); average torque; slotting effect; synchronous reluctance machine (SynRM); torque ripple

资金

  1. Agencia Nacional de Investigacion y Desarrollo, Chile, under Grant ANID-PFCHA/Doctorado Nacional [2020-21200527]
  2. project FONDECYT REGULAR [1201667]
  3. project FONDEF [21I10099]

向作者/读者索取更多资源

This article presents an accurate analytical model for synchronous reluctance machine, which considers the effect of stator slots on the performance of the machine. The model allows for fast prediction of torque waveforms and flux density, and provides correlations between electrical, magnetic, and geometrical characteristics of the machine, facilitating the design and optimization process.
This article presents an accurate analytical model (AM) for synchronous reluctance machine (SynRM) that incorporates the effect of stator slots on the air gap flux density and torque waveforms. From the formulation of magnetic potential in the air gap for both the stator and rotor, the flux density is obtained, considering the first harmonic of the flux density and the electric loading, the average torque is calculated using the Lorentz's force. The ripple torque is obtained from the energy stored in magnetic circuit. The method is developed for a rotor with one flux barrier per pole and then extended to a larger number of barriers. To validate the results obtained by the AM proposed finite element analysis have been carried out. Several comparisons have been derived considering different rotor positions as well as different harmonic orders, and the pros and cons of the method are highlighted. The model performs fast and can predict results with high accuracy, and can be adopted to speed up the preliminary design and optimizations of this type of motors, with respect to finite element. In addition, from the analytical expressions it is possible to obtain all the correlations between electrical, magnetic, and geometrical characteristics of the machine, with the advantage of enabling a faster machine design.

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