Compact Structurally Constrained Torque Model for IPMSM Drives: Identification, Cross-Machine Validation, and Embedded Implementation

Preprint of a manuscript currently under peer review. This work presents a compact structurally constrained five-coefficient model for the steady-state shaft torque of interior permanent-magnet synchronous motors (IPMSMs). The model is identified directly from samples in the Id-Iq plane using a two-stage procedure based on the observed near-affine dependence of torque on Id at fixed Iq. The proposed representation is validated on independent experimental data, re-identified and tested on five additional PMSM datasets, compared with constant-parameter, polynomial, and lookup-table torque representations, and evaluated in real-time embedded implementation on an ARM Cortex-M4F controller. The software and processed datasets supporting the study are available in the related Zenodo reproducibility package.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-15
DOI
https://doi.org/10.5281/zenodo.22767460
Primary Topic
Sensorless Control of Electric Motors
Type
preprint
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preprint

Compact Structurally Constrained Torque Model for IPMSM Drives: Identification, Cross-Machine Validation, and Embedded Implementation

A.M. Tishin, Nikolay D. Tulupov, Dmitriii Kanurin, Sergey K. Makov
Zenodo (CERN European Organization for Nuclear Research)
Sensorless Control of Electric Motors
preprint

Compact Structurally Constrained Torque Model for IPMSM Drives: Identification, Cross-Machine Validation, and Embedded Implementation

A.M. Tishin, Nikolay D. Tulupov, Dmitriii Kanurin, Sergey K. Makov
preprint en

Abstract

Preprint of a manuscript currently under peer review. This work presents a compact structurally constrained five-coefficient model for the steady-state shaft torque of interior permanent-magnet synchronous motors (IPMSMs). The model is identified directly from samples in the Id-Iq plane using a two-stage procedure based on the observed near-affine dependence of torque on Id at fixed Iq. The proposed representation is validated on independent experimental data, re-identified and tested on five additional PMSM datasets, compared with constant-parameter, polynomial, and lookup-table torque representations, and evaluated in real-time embedded implementation on an ARM Cortex-M4F controller. The software and processed datasets supporting the study are available in the related Zenodo reproducibility package.

Zenodo (CERN European Organization for Nuclear Research)
Moscow Institute of Physics and Technology (RU), Lomonosov Moscow State University (RU), American Superconductor (Austria) (AT)
Sensorless Control of Electric Motors
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Compact Structurally Constrained Torque Model for IPMSM Drives: Identification, Cross-Machine Validation, and Embedded Implementation — A.M. Tishin, Nikolay D. Tulupov, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS