4.6 Article

Design and Optimization of Axial Field Flux-Switching Magnetic Gear Composite Motor Based on Varying-Network Magnetic Circuit

期刊

IEEE ACCESS
卷 11, 期 -, 页码 53749-53759

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3275444

关键词

Axial field flux-switching magnetic gear composite machine (AFFSMGCM); varying-network magnetic circuit (VNMC); sensitivity analysis; multi-objective optimization; finite element analysis (FEA) method

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Axial field flux-switching magnetic gear composite motor (AFFSMGCM) combines the advantages of axial field flux-switching permanent magnet machine (AFFSPMM) and magnetic gear (MG). In order to reduce the time and cost of design and optimization due to the complicated structure of AFFSMGCM, the nonlinear varying-network magnetic circuit (VNMC) is researched and developed for the machine. The topology of AFFSMGCM is introduced and an accurate VNMC model is established with consideration of magnetic saturation and leakage flux. Multi-objective optimization based on VNMC is carried out to obtain large torque and low torque ripple, and the VNMC model is validated using finite element analysis (FEA). The proposed VNMC improves the efficiency and accuracy of the design and optimization of the machine.
Axial field flux-switching magnetic gear composite motor (AFFSMGCM) combines the advantages of axial field flux-switching permanent magnet machine (AFFSPMM) and magnetic gear (MG). In order to reduce the time and cost of design and optimization due to the complicated structure of AFFSMGCM, the nonlinear varying-network magnetic circuit (VNMC) is researched and developed for the machine. First, the topology of AFFSMGCM is introduced in details. Then, the accurate VNMC model is established with consideration of magnetic saturation and leakage flux. Finally, multi-objective optimization of AFFSMGCM based on VNMC is carried out to obtain large torque and low torque ripple. Meanwhile, the finite element analysis (FEA) method is used to validate the VNMC model. It is shown that the calculation results based on VNMC model are similar to those of FEA. The proposed VNMC improves the efficiency and accuracy of the design and optimization of the machine.

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