A Novel OrbiTran Magnetically Geared Rotating Electrical Machine

This paper presents a novel electrical machine topology with a built-in magnetic gear, combining concepts from cycloidal magnetic gears and rolling-rotor electrical machines. It enables electromechanical conversion in both motor and generator modes. To overcome the complex rotation typically associated with cycloidal gears, the high-speed and low-speed rotors are mechanically decoupled. The high-speed rotor performs translational motion along a small orbit, which inspired the name "OrbiTran". A 2D FEM model with a gear ratio of 60 was developed, demonstrating a torque density of 114 kN·m/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> under relatively low thermal load on the stator windings, which typically corresponds to natural convection cooling. It was also demonstrated that the proposed machine can continuously operate at maximum torque density with negligible torque ripples. Since the component of the machine responsible for electromechanical conversion relies on reluctance torque, and PMs are naturally shielded from armature magnetic fields, the proposed device is expected to exhibit a high degree of fault tolerance. Despite its many advantages, proposed topology still inherits significant radial imbalances from the cycloidal magnetic gear, and the rolling-rotor machine it is based on.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Magnetics
Published
2025-06-16
DOI
https://doi.org/10.1109/tmag.2025.3580223
Citations
1
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel OrbiTran Magnetically Geared Rotating Electrical Machine

Oleg Molokanov
1 citations
IEEE Transactions on Magnetics
Electric Motor Design and Analysis
0.73
article

A Novel OrbiTran Magnetically Geared Rotating Electrical Machine

Oleg Molokanov
article en
1 citations

Abstract

This paper presents a novel electrical machine topology with a built-in magnetic gear, combining concepts from cycloidal magnetic gears and rolling-rotor electrical machines. It enables electromechanical conversion in both motor and generator modes. To overcome the complex rotation typically associated with cycloidal gears, the high-speed and low-speed rotors are mechanically decoupled. The high-speed rotor performs translational motion along a small orbit, which inspired the name "OrbiTran". A 2D FEM model with a gear ratio of 60 was developed, demonstrating a torque density of 114 kN·m/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> under relatively low thermal load on the stator windings, which typically corresponds to natural convection cooling. It was also demonstrated that the proposed machine can continuously operate at maximum torque density with negligible torque ripples. Since the component of the machine responsible for electromechanical conversion relies on reluctance torque, and PMs are naturally shielded from armature magnetic fields, the proposed device is expected to exhibit a high degree of fault tolerance. Despite its many advantages, proposed topology still inherits significant radial imbalances from the cycloidal magnetic gear, and the rolling-rotor machine it is based on.

IEEE Transactions on MagneticsVol. 61(8)
Moscow Power Engineering Institute (RU)
Russian Science Foundation
Affordable and clean energy
Openalex Percentile: Top 27%
Electric Motor Design and Analysis
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.