Accurate Analytical Modeling of Small-Size Rotary Transformers for Wound-Rotor Resolvers
Pith reviewed 2026-05-23 18:49 UTC · model grok-4.3
The pith
An analytical magnetic equivalent circuit model for miniature rotary transformers derives magnetizing and leakage inductances by including flux fringing and air gap effects to predict secondary voltage more accurately than conventionalIdeal
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The paper claims that a magnetic equivalent circuit which incorporates reluctances for the main flux path, fringing flux, and leakage paths yields closed-form expressions for magnetizing and leakage inductances in small-size rotary transformers, producing secondary voltage predictions that match three-dimensional finite element results and prototype measurements more closely than models that ignore fringing and air-gap effects.
What carries the argument
Magnetic equivalent circuit that separates main, fringing, and leakage flux paths to compute magnetizing and leakage inductances analytically.
If this is right
- Designers can adjust core dimensions and gap sizes analytically to achieve a target voltage transfer ratio without repeated 3D simulations.
- Excitation signal transfer in miniature resolvers can be characterized with quantified leakage effects rather than assumed ideal turns ratios.
- Initial performance estimates for compact resolver systems become available before physical prototypes are built.
- The same inductance formulas can be reused across families of similar rotary transformers that differ only in scale or gap length.
Where Pith is reading between the lines
- The fringing-accounting approach may transfer to analytical modeling of other small air-gap devices such as miniature motors or sensors where leakage dominates.
- If the circuit remains accurate at still smaller scales, it could shorten design cycles for next-generation compact rotary electromagnetic components.
- Similar separation of flux paths might improve leakage predictions in linear variable differential transformers that also operate with small air gaps.
Load-bearing premise
A simplified magnetic equivalent circuit can capture enough of the three-dimensional flux distribution and fringing in small rotary transformers with unavoidable air gaps to replace full numerical field solutions for design work.
What would settle it
Three-dimensional finite element analysis or measurements on the fabricated prototype showing secondary voltage errors equal to or larger than those from a conventional ideal-transformer model would falsify the claim of improved accuracy.
Figures
read the original abstract
Rotary transformers are commonly used in wound rotor resolvers to transfer excitation signals to the rotating winding without mechanical contact. In many analyses, the rotary transformer is modeled as an ideal transformer, where the voltage transfer ratio is assumed to be equal to the turns ratio. However, in miniature rotary transformers used in compact resolver systems, leakage inductance can become comparable to the magnetizing inductance due to reduced core dimensions and unavoidable air gaps, leading to deviations from the ideal voltage transfer behavior. This paper presents an accurate equivalent circuit model for miniature rotary transformers employed in wound rotor resolvers. The proposed model analytically derives the magnetizing and leakage inductances using a magnetic equivalent circuit that accounts for flux fringing and air gap effects. The model is validated through three dimensional finite element analysis and experimental measurements on a fabricated prototype under both no load and resolver excitation conditions. The results demonstrate improved prediction accuracy of the secondary voltage compared with conventional models, enabling more reliable characterization of excitation transfer in compact resolver systems.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper proposes an analytical equivalent circuit model for small-size rotary transformers in wound-rotor resolvers. It derives magnetizing and leakage inductances from a magnetic equivalent circuit (MEC) that incorporates flux fringing and air-gap effects, then validates the model against 3D FEA and prototype measurements under no-load and resolver excitation conditions, claiming improved secondary-voltage prediction relative to conventional ideal-transformer models.
Significance. If the quantitative validation holds, the work supplies a practical design tool for compact resolvers where leakage inductance becomes comparable to magnetizing inductance; this could reduce reliance on full 3D FEA during early-stage sizing while remaining grounded in standard magnetic-circuit methods.
major comments (2)
- [Abstract / Validation] Abstract and validation sections: the central claim of 'improved prediction accuracy' is stated without any reported quantitative error metrics (RMS deviation, percentage error on secondary voltage or inductance values) between the proposed MEC model, conventional models, 3D FEA, and measurements; this information is load-bearing for the accuracy assertion.
- [MEC derivation] MEC derivation (assumed §3): the treatment of fringing and effective air-gap length is described only at a high level; if these quantities involve an adjustable factor rather than a fully closed-form expression, the model is not strictly parameter-free and the 'analytical' characterization requires explicit clarification.
minor comments (1)
- [Figures] Figure captions and axis labels should explicitly state whether plotted voltages are peak, RMS, or normalized to the ideal turns ratio.
Simulated Author's Rebuttal
We thank the referee for the constructive comments. We address each major point below and will revise the manuscript to strengthen the presentation.
read point-by-point responses
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Referee: [Abstract / Validation] Abstract and validation sections: the central claim of 'improved prediction accuracy' is stated without any reported quantitative error metrics (RMS deviation, percentage error on secondary voltage or inductance values) between the proposed MEC model, conventional models, 3D FEA, and measurements; this information is load-bearing for the accuracy assertion.
Authors: We agree that explicit quantitative error metrics are required to substantiate the accuracy claim. Although comparative results are shown, the revised manuscript will include RMS deviations and percentage errors for secondary voltage and inductance values across the proposed MEC, conventional models, 3D FEA, and measurements. revision: yes
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Referee: [MEC derivation] MEC derivation (assumed §3): the treatment of fringing and effective air-gap length is described only at a high level; if these quantities involve an adjustable factor rather than a fully closed-form expression, the model is not strictly parameter-free and the 'analytical' characterization requires explicit clarification.
Authors: The fringing factors and effective air-gap lengths are obtained from standard closed-form magnetic-circuit expressions (Carter coefficient and fringing-flux formulas) with no adjustable parameters. The revised Section 3 will present the explicit formulas and derivation steps to confirm the model is fully analytical. revision: yes
Circularity Check
No significant circularity identified
full rationale
The paper applies standard magnetic equivalent circuit analysis to derive magnetizing and leakage inductances from geometry, fringing, and air-gap parameters, then validates the resulting voltage predictions against independent 3D FEA and physical prototype measurements. No step reduces a claimed prediction to a fitted input by construction, invokes a self-citation as the sole justification for a uniqueness claim, or renames an empirical pattern as a derived result. The derivation chain remains self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
free parameters (1)
- Fringing factor or effective air-gap length
axioms (1)
- domain assumption Magnetic equivalent circuit approximation accurately captures dominant flux paths and leakage in the miniature rotary transformer geometry
Reference graph
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discussion (0)
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