Simscape Implementation of a Nonlinear Permanent Magnet Synchronous Machine Model for Sensorless Polarity Detection

This paper presents the implementation of a novel extended PMSM model in the Simscape acausal modeling subsystem of the widely used Mathworks MATLAB-Simulink numerical simulation environment. The extended PMSM model is based on a quadratic flux-current function that describes the machine’s rotor position-dependent and polarity-dependent properties and facilitates the development of signal injection-based sensorless polarity detection algorithms. The implemented PMSM model was validated using simulations and measurements. The presented simulation results include modulated sinusoidal injection and non-modulated square-wave injection which are commonly used carrier signals in sensorless algorithms, and the simulation results were compared to corresponding measurements. A comparison of the acausal modeling approach in Simscape to the causal approach of Simulink is also presented. The implemented PMSM model is open source. The source code and the related data are available on GitHub.

Authors

Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/pemc61721.2024.10726332
Citations
1
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simscape Implementation of a Nonlinear Permanent Magnet Synchronous Machine Model for Sensorless Polarity Detection

István Szalay, D. Fodor
1 citations
Electric Motor Design and Analysis
0.21
article

Simscape Implementation of a Nonlinear Permanent Magnet Synchronous Machine Model for Sensorless Polarity Detection

István Szalay, D. Fodor
article en
1 citations

Abstract

This paper presents the implementation of a novel extended PMSM model in the Simscape acausal modeling subsystem of the widely used Mathworks MATLAB-Simulink numerical simulation environment. The extended PMSM model is based on a quadratic flux-current function that describes the machine’s rotor position-dependent and polarity-dependent properties and facilitates the development of signal injection-based sensorless polarity detection algorithms. The implemented PMSM model was validated using simulations and measurements. The presented simulation results include modulated sinusoidal injection and non-modulated square-wave injection which are commonly used carrier signals in sensorless algorithms, and the simulation results were compared to corresponding measurements. A comparison of the acausal modeling approach in Simscape to the causal approach of Simulink is also presented. The implemented PMSM model is open source. The source code and the related data are available on GitHub.

Affordable and clean energy
Openalex Percentile: Top 47%
Electric Motor Design and Analysis
0.21
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.

Simscape Implementation of a Nonlinear Permanent Magnet Synchronous Machine Model for Sensorless Polarity Detection — István Szalay, D. Fodor · (2024) | TGRS Research Map | TGRS