An Improved Model Predictive Pulse Pattern Control for Motor Drive at Low Carrier Ratios

To simultaneously achieve low steady-state harmonics and high dynamic response for high-power motors at low carrier ratios, this paper presents a model predictive pulse pattern control (MP3C) technique. Initially, based on the discrete mathematical model of the induction motor, a finite set multi-step current prediction control method is presented. Subsequently, by integrating the optimal pulse pattern (OPP) modulation strategy with the current prediction algorithm, the approach effectively achieves low harmonic distortion and high dynamic performance at low carrier ratios. Finally, the presented method is validated through a 2 MW squirrel-cage induction motor model implemented on PLECS RT-Box.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/pedg62294.2025.11060205
Primary Topic
Advanced Algorithms and Applications
Type
article
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article

An Improved Model Predictive Pulse Pattern Control for Motor Drive at Low Carrier Ratios

Zhihong Bai, X.S. Wang, Weifeng Su
Advanced Algorithms and Applications
article

An Improved Model Predictive Pulse Pattern Control for Motor Drive at Low Carrier Ratios

Zhihong Bai, X.S. Wang, Weifeng Su
article en

Abstract

To simultaneously achieve low steady-state harmonics and high dynamic response for high-power motors at low carrier ratios, this paper presents a model predictive pulse pattern control (MP3C) technique. Initially, based on the discrete mathematical model of the induction motor, a finite set multi-step current prediction control method is presented. Subsequently, by integrating the optimal pulse pattern (OPP) modulation strategy with the current prediction algorithm, the approach effectively achieves low harmonic distortion and high dynamic performance at low carrier ratios. Finally, the presented method is validated through a 2 MW squirrel-cage induction motor model implemented on PLECS RT-Box.

China Energy Engineering Corporation (China) (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Advanced Algorithms and Applications
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