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Lumped Radial Force Characteristics Reconstruction for Switched Reluctance Machines Through Scaling Flux-Linkage Characteristics.

Authors :
Fang, Gaoliang
Ye, Jin
Xiao, Dianxun
Xia, Zekun
Emadi, Ali
Source :
IEEE Transactions on Magnetics. Jun2022, Vol. 58 Issue 6, p1-9. 9p.
Publication Year :
2022

Abstract

This article presents a simple and practical method to estimate the lumped radial force characteristics for the switched reluctance machines (SRMs). First, the relationship between the square root of the lumped radial force and the flux linkage is discussed and analyzed. With the geometry data of the studied SRM, the abovementioned relationship under nominal air-gap length and nominal material magnetic property conditions can be obtained through the finite-element analysis (FEA) software. As the radial flux density dominates the magnitude of the radial force and it concentrates on the overlapping area, the abovementioned relationship is analyzed to be roughly held when the air-gap length and/or material magnetic property vary. Based on this relationship obtained from the FEA and the actual measured flux-linkage characteristics, the lumped radial force can be easily reconstructed for the actual SRMs regardless of the possible air-gap length variation and material magnetic property deviation during the manufacturing process. Simulation results on the 8/6 SRM and 12/8 SRM verify that the proposed method provides good radial force estimation results when the air-gap length is reduced or increased up to 50%. Superior estimation results are also observed on the condition that the magnetic ${B}$ – ${H}$ curve is linearly varied by ±25%. The accurate and simple radial force estimation method proposed in this article provides a solid basis for the radial-force-shaping-based advanced control methods to suppress the acoustic noise. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189464
Volume :
58
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Magnetics
Publication Type :
Academic Journal
Accession number :
157073117
Full Text :
https://doi.org/10.1109/TMAG.2022.3168049