Torque Ripple Suppression Control in Position Sensorless Control Based on Maximum Torque Control Axis for PMSMs

This paper proposes a method for torque ripple suppression in sensorless control of permanent magnet synchronous motors (PMSMs), which is designed to be robust against parameter errors. Torque ripple can be estimated robustly and with high precision even with some inaccuracy in parameter values by utilizing magnetic coenergy. However, conventional suppression control, based on sensorless current control techniques, encounters challenges in minimizing torque ripple due to errors in position estimation. To address this issue, the proposed approach leverages the maximum torque control axis. The results of an experimental evaluation of the proposed method show that it suppressed torque ripple effectively and was able to estimate the position while remaining robust to errors in parameter values.

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Publication Details

Journal
IEEJ Transactions on Industry Applications
Published
2026-05-31
DOI
https://doi.org/10.1541/ieejias.146.381
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Torque Ripple Suppression Control in Position Sensorless Control Based on Maximum Torque Control Axis for PMSMs

Tetsuya Matsuyama, Masato Komizo, Nobukazu Hoshi
IEEJ Transactions on Industry Applications
Adaptive Control of Nonlinear Systems
article

Torque Ripple Suppression Control in Position Sensorless Control Based on Maximum Torque Control Axis for PMSMs

Tetsuya Matsuyama, Masato Komizo, Nobukazu Hoshi
article en

Abstract

This paper proposes a method for torque ripple suppression in sensorless control of permanent magnet synchronous motors (PMSMs), which is designed to be robust against parameter errors. Torque ripple can be estimated robustly and with high precision even with some inaccuracy in parameter values by utilizing magnetic coenergy. However, conventional suppression control, based on sensorless current control techniques, encounters challenges in minimizing torque ripple due to errors in position estimation. To address this issue, the proposed approach leverages the maximum torque control axis. The results of an experimental evaluation of the proposed method show that it suppressed torque ripple effectively and was able to estimate the position while remaining robust to errors in parameter values.

IEEJ Transactions on Industry ApplicationsVol. 146(6)
Panasonic (Japan) (JP), Tokyo University of Science (JP), Panasonic (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Adaptive Control of Nonlinear Systems
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