Three-Vector Weighting-Free Model Predictive Torque Control for SPMSMs

Poor steady-state performance is observed in conventional dual-vector model predictive torque control (DV-MPTC) for Surface-Mounted permanent magnet synchronous motors (SPMSM), attributed to the weighted cost function for voltage vector (VV) selection. In this study, a three-vector MPTC (TV-MPTC) is proposed to improve the steady-state performance through three optimization steps: firstly, generating reference VVs and locating their sectors based on the dead-beat control; selecting the three optimal VVs based on the sector division; and then a cost function is used to calculate the duty cycle of each vector. Simulation results demonstrate reduced current and torque ripples alongside enhanced steady-state motor performance with the proposed strategy.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/sled63792.2025.11154700
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Three-Vector Weighting-Free Model Predictive Torque Control for SPMSMs

Geochemistry and Geologic Mapping
article

Three-Vector Weighting-Free Model Predictive Torque Control for SPMSMs

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Abstract

Poor steady-state performance is observed in conventional dual-vector model predictive torque control (DV-MPTC) for Surface-Mounted permanent magnet synchronous motors (SPMSM), attributed to the weighted cost function for voltage vector (VV) selection. In this study, a three-vector MPTC (TV-MPTC) is proposed to improve the steady-state performance through three optimization steps: firstly, generating reference VVs and locating their sectors based on the dead-beat control; selecting the three optimal VVs based on the sector division; and then a cost function is used to calculate the duty cycle of each vector. Simulation results demonstrate reduced current and torque ripples alongside enhanced steady-state motor performance with the proposed strategy.

Guangxi Normal University (CN), Nanjing Xiaozhuang University (CN)
Affordable and clean energy
Openalex Percentile: Top 25%
Geochemistry and Geologic Mapping
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