Model-Free Predictive Current Control of DTP-PMSM Based on Ultra-Local Model Considering Back EMF Harmonics

To achieve robust control against parameter variations for dual three-phase permanent magnet synchronous motor (DTP-PMSM), an improved model-free predictive current control (MFPCC) based on the ultra-local model is proposed in this article. First, the parameter mismatch on conventional predictive control is analyzed, and it is worth noting that the back-electromotive force (back EMF) harmonics have a huge impact on the current harmonics. Therefore, unlike the conventional schemes, the ultra-local model considering back EMF harmonics is employed to replace the fundamental and harmonic subspace current prediction models. Then, to meet the fast response and reduce chattering, a slide mode observer (SMO) based on improved reaching law is designed to estimate the disturbance and currents. Twelve virtual voltage vectors are synthesized for further suppressing currents in harmonic subspace. Finally, both simulation and experimental results show that the proposed method has the preferable robust performance and can reduce the phase current harmonics under parameter mismatches.

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Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2024-10-10
DOI
https://doi.org/10.1109/jestpe.2024.3477500
Citations
13
Primary Topic
Magnetic Properties and Applications
Type
article
Field-Weighted Citation Impact
1.53

Funders

Controls
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article

Model-Free Predictive Current Control of DTP-PMSM Based on Ultra-Local Model Considering Back EMF Harmonics

Jianfei Zhao, Shuang Wang, Huiyan Fan
13 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Magnetic Properties and Applications
1.53
article

Model-Free Predictive Current Control of DTP-PMSM Based on Ultra-Local Model Considering Back EMF Harmonics

Jianfei Zhao, Shuang Wang, Huiyan Fan
article en
13 citations

Abstract

To achieve robust control against parameter variations for dual three-phase permanent magnet synchronous motor (DTP-PMSM), an improved model-free predictive current control (MFPCC) based on the ultra-local model is proposed in this article. First, the parameter mismatch on conventional predictive control is analyzed, and it is worth noting that the back-electromotive force (back EMF) harmonics have a huge impact on the current harmonics. Therefore, unlike the conventional schemes, the ultra-local model considering back EMF harmonics is employed to replace the fundamental and harmonic subspace current prediction models. Then, to meet the fast response and reduce chattering, a slide mode observer (SMO) based on improved reaching law is designed to estimate the disturbance and currents. Twelve virtual voltage vectors are synthesized for further suppressing currents in harmonic subspace. Finally, both simulation and experimental results show that the proposed method has the preferable robust performance and can reduce the phase current harmonics under parameter mismatches.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(1)
Shanghai University (CN)
Natural Science Foundation of Shanghai
Affordable and clean energy
Openalex Percentile: Top 17%
Magnetic Properties and Applications
1.53
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Model-Free Predictive Current Control of DTP-PMSM Based on Ultra-Local Model Considering Back EMF Harmonics — Jianfei Zhao, Shuang Wang, et al. · IEEE Journal of Emerging and Selected Topics in Power Electronics (2024) | TGRS Research Map | TGRS