2026-04-22T14:00:13Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/54702024-03-04T13:00:43Zcom_20.500.11984_473col_20.500.11984_478

Understanding Switched-Flux Machines: A MMF-Permeance Model and Magnetic Equivalent Circuit Approach Eguren-Alustiza, Imanol Almandoz, Gaizka Egea, Aritz Badiola, Xabier Urdangarin Lasa, Ander Flux-switching linear machine air-gap field modulation PM brushless machine Due to their particular structure, switched-flux permanent magnet machines have become a very interesting alternative for many applications. This is why some recent studies have been focused in the understanding of the operating mechanism of these machines via the MMF-permeance modelling. However, the models that can be found in the literature make some simplifications that reduce their accuracy when predicting the performance of switched-flux machines. For example, the models that can be found in the literature are commonly not precise enough for machines with a wide slot, because the influence of the modulator of the primary side of the machine is neglected. In this article, a precise analytical model is developed for a 6/13 C-Core switched-flux machine via a combination of a magnetic equivalent circuit and a MMF-permeance model. The model is based on the magnetic field modulation principle. The analytical model is used to explain the flux focusing effect and the force generation mechanism of switched-flux machines. A new concept of PM field harmonic efficiency ratio is used to identify the most efficient PM field harmonics of 2 switched-flux machines. The precision of the model is validated via 2D and 3D Finite Element Method simulations, and experimental measurements that were obtained with a linear machine prototype. The results show that the model can predict the performance of switched-flux machines with a high accuracy level. 2022-02-16T13:50:48Z 2022-02-16T13:50:48Z 2022 http://purl.org/coar/resource_type/c_6501 2169-3536 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=167033 https://hdl.handle.net/20.500.11984/5470 eng Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ © 2022 The authors IEEE