Generalized Nonoverlapping Tooth Coil Winding Method for Variable Reluctance Resolvers

Saneie, Hamid; Nasiri‐Gheidari, Zahra

doi:10.1109/tie.2021.3084157

Cited by 14 publications

(7 citation statements)

References 17 publications

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“…(a) the self-inductance of excitation winding remains constant with rotation of the rotor, and (b) the mutual inductances between excitation and Sin. winding (Cos. winding) are sine function (cosine function) of the rotor position [3], [33].…”

Section: Principle Operation Of Resolver and Case Studiesmentioning

confidence: 99%

“…In the WR resolver, the desired variations of inductances are obtained by the relative position of rotor and stator windings. While in VR resolver all the windings are placed on the stator and the desired variation of inductances is obtained by variation of air-gap reluctance due to the special rotor shape, and stator windings [3], [33].…”

Section: Principle Operation Of Resolver and Case Studiesmentioning

confidence: 99%

“…2 (b), in the VR resolver with non-overlapping tooth coil winding, some stator teeth are equipped only with one excitation coil and other teeth equipped with signal coils. In this winding scheme, excitation coils (which are the only source of magnetic field) have the same turn number and direction [3]. So, the magnetic field repeated in this structure for the rotation of rotor equal to τ = zs Nr × 2π zs = 2π Nr , which N r is the number of excitation coils, symmetrically distributed around the stator [3].…”

Section: B Vr Resolvermentioning

confidence: 99%

“…In this winding scheme, excitation coils (which are the only source of magnetic field) have the same turn number and direction [3]. So, the magnetic field repeated in this structure for the rotation of rotor equal to τ = zs Nr × 2π zs = 2π Nr , which N r is the number of excitation coils, symmetrically distributed around the stator [3]. As a result, the magnetic field in the studied VR resolver repeated each 3 × 2π zs rotation of the rotor.…”

Section: B Vr Resolvermentioning

confidence: 99%

“…The design, analysis, and optimization of the abovementioned sensors require precise modeling. Finite Element Method (FEM) is used widely for performance prediction of electrical machines as well as resolvers [3]- [5]. It is wellknown that the high computational burden of FEM is a challenge, especially when dealing with 3D phenomena, such as in axial flux resolvers [6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On the Field-Reconstruction Method for Electromagnetic Modeling of Resolvers

Saneie

Nasiri‐Gheidari

Belahcen

2023

IEEE Trans. Instrum. Meas.

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In this paper, Field-Reconstruction Method (FRM) is proposed for predicting the performance of different types of rotational resolvers, including Wound-Rotor (WR) and Variable Reluctance (VR) ones. The main features of the developed method are comparable accuracy with that of the Finite Element Method (FEM) as well as much less computational burden. The deviation of the developed model in the prediction of position error of WR and VR resolvers is less than 3%. While its simulation time is between 30 and 150 times faster than FEM, depending on the resolver type. Accordingly, the proposed model can be used for the design and optimization of different resolvers. Experimental tests on the prototype WR resolver verify the success of the analysis in the modeling of the resolvers.

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Section: Principle Operation Of Resolver and Case Studiesmentioning

confidence: 99%

Section: Principle Operation Of Resolver and Case Studiesmentioning

confidence: 99%