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등각사상기법을 활용한 이중 고정자 버니어 모터의 부하 상태 해석open accessOn-Load Analysis of Dual-Stator Vernier Motor Using Conformal Mapping

Other Titles
On-Load Analysis of Dual-Stator Vernier Motor Using Conformal Mapping
Authors
송천호김성현강영재임명섭
Issue Date
May-2026
Publisher
대한전기학회
Keywords
Analytical Method; Conformal Mapping; Dual-Stator; UAM; Vernier Motor
Citation
전기학회논문지, v.75, no.5, pp 1048 - 1052
Pages
5
Indexed
SCOPUS
KCI
Journal Title
전기학회논문지
Volume
75
Number
5
Start Page
1048
End Page
1052
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212921
DOI
10.5370/KIEE.2026.75.5.1048
ISSN
1975-8359
2287-4364
Abstract
To address potential inverter failures and ensure high reliability, dual-inverter and dual-stator motor configurations are increasingly adopted in aerospace drive systems, such as Urban Air Mobility, which require robust fault-tolerant operation. This study focuses on a dual-stator vernier motor as a promising candidate for safety-critical applications due to its high power density and redundancy. However, the dual-stator topology introduces a significantly larger number of design variables compared to single-stator designs, leading to an increased computational burden during the initial design and analysis phases. To overcome these challenges, this paper proposes a novel computation-time reduction methodology based on an analytical framework using conformal mapping. Unlike traditional methods such as magnetic equivalent circuits or subdomain methods, the proposed approach eliminates the need for complex network configurations and the re-derivation of boundary conditions for various geometries. By employing the Schwarz-Christoffel (S-C) transformation, complex slotted air-gap regions are mapped into a normalized rectangular domain, enabling efficient and intuitive field analysis. The validity of the proposed method was verified through comparison with Finite Element Analysis (FEA) under load conditions. The results demonstrate that the proposed technique achieves high accuracy in predicting air-gap flux density and torque characteristics. Notably, the proposed method achieved a 92.3% reduction in computation time compared to FEA, proving its superior efficiency for the rapid design of motors with complex structures. Finally, this paper discusses a hybrid modeling approach to incorporate magnetic nonlinearity in future research to further enhance analytical precision.
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