Torque Ripple Suppression of BLDCM Based on Model Prediction Optimization of Duty Cycle

The brushless DC motor usually adopts the drive scheme of two-phase conduction six-step control, but because of the periodic torque pulsation, its application in high precision is limited. A model predictive optimization duty cycle control strategy is proposed. The scheme combines model predictive control strategy and the three-phase modulation strategy, controls the change rates of the off-phase and non-commutation current during commutation, and optimizes the duty cycle combination with the minimum commutation time. The current in the non-commutating phase can remain stable throughout commutation in the full speed domain, effectively reducing the torque ripple. The simulation results verify the effectiveness of this theory in reducing commutation torque pulsations.

Authors

Institutions

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/eee64897.2025.11162912
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Torque Ripple Suppression of BLDCM Based on Model Prediction Optimization of Duty Cycle

Qingfeng Liu, Jiawei Li, Zhaoxia Leng
Metallurgy and Material Forming
article

Torque Ripple Suppression of BLDCM Based on Model Prediction Optimization of Duty Cycle

Qingfeng Liu, Jiawei Li, Zhaoxia Leng
article en

Abstract

The brushless DC motor usually adopts the drive scheme of two-phase conduction six-step control, but because of the periodic torque pulsation, its application in high precision is limited. A model predictive optimization duty cycle control strategy is proposed. The scheme combines model predictive control strategy and the three-phase modulation strategy, controls the change rates of the off-phase and non-commutation current during commutation, and optimizes the duty cycle combination with the minimum commutation time. The current in the non-commutating phase can remain stable throughout commutation in the full speed domain, effectively reducing the torque ripple. The simulation results verify the effectiveness of this theory in reducing commutation torque pulsations.

Xi'an University of Technology (CN)
Openalex Percentile: Top 71%
Metallurgy and Material Forming
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.