Resonance-based and Improved Active Disturbance Rejection Control for Torque Ripple Suppression in Permanent Magnet Motors

To solve the torque ripple in permanent magnet synchronous motors, this paper designs a vector control strategy based on resonance and active disturbance rejection algorithms. A resonant controller (PR) is designed in the current loop to suppress current harmonics, while a linear active disturbance rejection controller (LADRC) is designed in the speed loop to reduce vibration overshoot. The system is tuned and analyzed for stability using transfer functions. Simulation results validate that compared to the PI algorithm, this method reduces current ripple by about 42% and experimental tests on a permanent magnet motor in an elevator traction system show a reduction of the Z-axis vibration peak in the cabin by about 36.8%. This proves that the algorithm effectively suppresses torque ripple.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iseae64934.2025.11042110
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Resonance-based and Improved Active Disturbance Rejection Control for Torque Ripple Suppression in Permanent Magnet Motors

Li Ji, Jin Li, Yin-pan Zhao
1 citations
Iterative Learning Control Systems
1.21
article

Resonance-based and Improved Active Disturbance Rejection Control for Torque Ripple Suppression in Permanent Magnet Motors

Li Ji, Jin Li, Yin-pan Zhao
article en
1 citations

Abstract

To solve the torque ripple in permanent magnet synchronous motors, this paper designs a vector control strategy based on resonance and active disturbance rejection algorithms. A resonant controller (PR) is designed in the current loop to suppress current harmonics, while a linear active disturbance rejection controller (LADRC) is designed in the speed loop to reduce vibration overshoot. The system is tuned and analyzed for stability using transfer functions. Simulation results validate that compared to the PI algorithm, this method reduces current ripple by about 42% and experimental tests on a permanent magnet motor in an elevator traction system show a reduction of the Z-axis vibration peak in the cabin by about 36.8%. This proves that the algorithm effectively suppresses torque ripple.

Hangzhou Dianzi University (CN)
Affordable and clean energy
Openalex Percentile: Top 20%
Iterative Learning Control Systems
1.21
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Resonance-based and Improved Active Disturbance Rejection Control for Torque Ripple Suppression in Permanent Magnet Motors — Li Ji, Jin Li, et al. · (2025) | TGRS Research Map | TGRS