Experimental comparison of MRAS and Sliding Mode Observer for PMSM sensorless control

This paper presents the comparison between sensored field oriented control, model reference adaptive system, and sliding mode observer sensorless techniques for isotropic permanent magnet synchronous machines considering performance and microprocessor resources usage. These three algorithms were implemented on the TMS320F28069M microcontroller using MATLAB Simulink<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> Embedded Coder for Texas Instruments for the 2MTR-DYNO motor kit. After recalling the theoretical aspects of these techniques, the experimental testbench is presented. The tests compare these strategies in terms of torque-speed operating region, average estimated speed error, and microcontroller computation time and memory allocation. As a conclusion, MRAS and SMO had a similar performance in terms of torque-speed characteristic, speed precision and memory allocation. When compared with SMO, MRAS showed a superior torque capacity at lower speeds and a more straightforward tuning procedure due to its lower number of tuning parameters. On the other hand, SMO required a lower computational time than MRAS.

Institutions

Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/sled63792.2025.11154470
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental comparison of MRAS and Sliding Mode Observer for PMSM sensorless control

Genomics and Phylogenetic Studies
article

Experimental comparison of MRAS and Sliding Mode Observer for PMSM sensorless control

article en

Abstract

This paper presents the comparison between sensored field oriented control, model reference adaptive system, and sliding mode observer sensorless techniques for isotropic permanent magnet synchronous machines considering performance and microprocessor resources usage. These three algorithms were implemented on the TMS320F28069M microcontroller using MATLAB Simulink<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> Embedded Coder for Texas Instruments for the 2MTR-DYNO motor kit. After recalling the theoretical aspects of these techniques, the experimental testbench is presented. The tests compare these strategies in terms of torque-speed operating region, average estimated speed error, and microcontroller computation time and memory allocation. As a conclusion, MRAS and SMO had a similar performance in terms of torque-speed characteristic, speed precision and memory allocation. When compared with SMO, MRAS showed a superior torque capacity at lower speeds and a more straightforward tuning procedure due to its lower number of tuning parameters. On the other hand, SMO required a lower computational time than MRAS.

AviChina Industry & Technology (China) (CN), Politecnico di Milano (IT)
Affordable and clean energy
Openalex Percentile: Top 49%
Genomics and Phylogenetic Studies
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.