Modified Approach to Inductance Calculation of Variable Reluctance Resolver Based on Segmented Winding Function Method

The overall level of high-end manufacturing industry has greatly improved in recent years, and the position detection required by robots and other servo products has been playing one of the most important roles. Among the common sensors, Variable Reluctance Resolvers (VRRs) have become the first cho...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2023-09, Vol.59 (5), p.1-8
Main Authors: Cai, Yaqian, Ni, Ronggang, Zhu, Wenyin, Liu, Yichen
Format: Article
Language:English
Subjects:
Air gap flux density
Air gaps
analytical analysis
Distribution functions
finite element analysis (FEA)
Finite element method
Flux density
High temperature
Inductance
Magnetic circuits
Mathematical analysis
Permanent magnet motors
Resolvers
segmented winding function method (SWFM)
Stator windings
Variable reluctance
variable reluctance resolver (VRR)
Winding
Windings
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Summary:The overall level of high-end manufacturing industry has greatly improved in recent years, and the position detection required by robots and other servo products has been playing one of the most important roles. Among the common sensors, Variable Reluctance Resolvers (VRRs) have become the first choice under harsh working conditions due to their advantages in high temperature resistance, strong vibration resistance and small size, etc. In this paper, the internal VRR of a hybrid double stator motor is analyzed. Based on the Modified Winding Function Approach (MWFA), the Segmented Winding Function Method (SWFM) is proposed by modifying the air gap function and the coil turn distribution function in order to draw more precise analytical approach. With the proposed method, the air gap flux density and the self-inductance of the excitation winding are calculated, and compared to the Finite Element Analysis (FEA) to verify the consistency and accuracy of the proposed method.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2023.3277818