Inductance and Self-Sensing Capabilities Computation for Synchronous Reluctance Motors Based on Coenergy Model

Motor characterization consists in measuring or simulating the flux linkages maps on a grid of current points. These maps are required to compute the incremental inductances and self-sensing capabilities of the considered motor on the same grid. The method proposed in this paper allows the reconstruction of the incremental inductances maps using less samples than the full (conventional) characterization, i.e. only the samples of the flux linkages along the current domain borders. The method relies on the coenergy model and it is validated on the measured maps of a synchronous reluctance motor. The code used to compute the coenergy, the incremental inductances, and selfsensing capabilities is available as an open source package.

Authors

Institutions

Publication Details

Published
2025-04-09
DOI
https://doi.org/10.1109/wemdcd61816.2025.11014148
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inductance and Self-Sensing Capabilities Computation for Synchronous Reluctance Motors Based on Coenergy Model

Ludovico Ortombina, Luigi Alberti, Matteo Berto
Electric Motor Design and Analysis
article

Inductance and Self-Sensing Capabilities Computation for Synchronous Reluctance Motors Based on Coenergy Model

Ludovico Ortombina, Luigi Alberti, Matteo Berto
article en

Abstract

Motor characterization consists in measuring or simulating the flux linkages maps on a grid of current points. These maps are required to compute the incremental inductances and self-sensing capabilities of the considered motor on the same grid. The method proposed in this paper allows the reconstruction of the incremental inductances maps using less samples than the full (conventional) characterization, i.e. only the samples of the flux linkages along the current domain borders. The method relies on the coenergy model and it is validated on the measured maps of a synchronous reluctance motor. The code used to compute the coenergy, the incremental inductances, and selfsensing capabilities is available as an open source package.

University of Padua (IT)
Affordable and clean energy
Openalex Percentile: Top 89%
Electric Motor Design and Analysis
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.

Inductance and Self-Sensing Capabilities Computation for Synchronous Reluctance Motors Based on Coenergy Model — Ludovico Ortombina, Luigi Alberti, et al. · (2025) | TGRS Research Map | TGRS