Harmonic Suppression of Dual Three-Phase PMSM Drives Based on Model Predictive Repetitive Control

In the drive system of a dual three-phase permanent magnet synchronous motor (DTP-PMSM), significant periodic harmonic components often exist in the current loop due to the nonlinear characteristics of the inverter and internal electromagnetic effects. These harmonics can adversely affect the system's dynamic response, reduce steady-state accuracy, and decrease overall efficiency. Consequently, this paper proposes a novel model predictive repetitive control (MPRC). By embedding the repetitive controller (RC) into the model predictive control (MPC) framework using the internal model principle (IMP), this method can effectively suppress periodic harmonics in the current loop. Firstly, it constructs the motor state-space model with harmonic components; then, by designing a specific-order repetitive controller and combining it with the MPC control method, harmonic suppression in the harmonic space is achieved; finally, simulation comparisons are conducted to verify the effectiveness. The simulation results show that this control method reduces harmonic distortion while maintaining the original predictive control performance.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11131082
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Harmonic Suppression of Dual Three-Phase PMSM Drives Based on Model Predictive Repetitive Control

Pu Yang, Junxiao Wang, Jing Bai
Iterative Learning Control Systems
article

Harmonic Suppression of Dual Three-Phase PMSM Drives Based on Model Predictive Repetitive Control

Pu Yang, Junxiao Wang, Jing Bai
article en

Abstract

In the drive system of a dual three-phase permanent magnet synchronous motor (DTP-PMSM), significant periodic harmonic components often exist in the current loop due to the nonlinear characteristics of the inverter and internal electromagnetic effects. These harmonics can adversely affect the system's dynamic response, reduce steady-state accuracy, and decrease overall efficiency. Consequently, this paper proposes a novel model predictive repetitive control (MPRC). By embedding the repetitive controller (RC) into the model predictive control (MPC) framework using the internal model principle (IMP), this method can effectively suppress periodic harmonics in the current loop. Firstly, it constructs the motor state-space model with harmonic components; then, by designing a specific-order repetitive controller and combining it with the MPC control method, harmonic suppression in the harmonic space is achieved; finally, simulation comparisons are conducted to verify the effectiveness. The simulation results show that this control method reduces harmonic distortion while maintaining the original predictive control performance.

Zhejiang University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 72%
Iterative Learning Control Systems
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Harmonic Suppression of Dual Three-Phase PMSM Drives Based on Model Predictive Repetitive Control — Pu Yang, Junxiao Wang, et al. · (2025) | TGRS Research Map | TGRS