A simplified multi-mode model predictive current control method for a novel neutral-point-connected open-end winding induction motor driven system

Abstract This paper presents a simplified multi-mode model predictive current control (MPCC) scheme for a novel NPC-OEWIM powered by dual three-phase four-leg inverters with a 2:1 DC-link voltage ratio. Conventional MPCC requires evaluating 91 effective voltage vectors (VVs), resulting in high computational complexity. To address this, a cascaded split-sequence strategy is proposed that projects the 3D VVs onto the αβ plane, selects candidate VVs for the first inverter, refines the candidate set for the second inverter, and finally chooses the optimal VVs based on zero-sequence components. This method reduces predictive iterations from 91 to 23 – a 75 % reduction – and eliminates the requirement for weight coefficients. Additionally, a multi-mode switching strategy is integrated to reduce the switching frequency over a wide speed range: under low-speed conditions, only the low-voltage side inverter is active; during medium-speed operation, the high-voltage side inverter is engaged; and at high speeds, both inverters operate concurrently. Experimental results demonstrate significant computational efficiency and robust performance, making the proposed MPCC be well suited for high-performance industrial applications.

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Publication Details

Journal
International Journal of Emerging Electric Power Systems
Published
2025-09-23
DOI
https://doi.org/10.1515/ijeeps-2025-0226
Primary Topic
Multilevel Inverters and Converters
Type
article
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article

A simplified multi-mode model predictive current control method for a novel neutral-point-connected open-end winding induction motor driven system

Nan Jin, J T Liu, Yanyan Li, Leilei Guo
International Journal of Emerging Electric Power Systems
Multilevel Inverters and Converters
article

A simplified multi-mode model predictive current control method for a novel neutral-point-connected open-end winding induction motor driven system

Nan Jin, J T Liu, Yanyan Li, Leilei Guo
article en

Abstract

Abstract This paper presents a simplified multi-mode model predictive current control (MPCC) scheme for a novel NPC-OEWIM powered by dual three-phase four-leg inverters with a 2:1 DC-link voltage ratio. Conventional MPCC requires evaluating 91 effective voltage vectors (VVs), resulting in high computational complexity. To address this, a cascaded split-sequence strategy is proposed that projects the 3D VVs onto the αβ plane, selects candidate VVs for the first inverter, refines the candidate set for the second inverter, and finally chooses the optimal VVs based on zero-sequence components. This method reduces predictive iterations from 91 to 23 – a 75 % reduction – and eliminates the requirement for weight coefficients. Additionally, a multi-mode switching strategy is integrated to reduce the switching frequency over a wide speed range: under low-speed conditions, only the low-voltage side inverter is active; during medium-speed operation, the high-voltage side inverter is engaged; and at high speeds, both inverters operate concurrently. Experimental results demonstrate significant computational efficiency and robust performance, making the proposed MPCC be well suited for high-performance industrial applications.

International Journal of Emerging Electric Power Systems
Zhengzhou University of Light Industry (CN)
Openalex Percentile: Top 75%
Multilevel Inverters and Converters
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A simplified multi-mode model predictive current control method for a novel neutral-point-connected open-end winding induction motor driven system — Nan Jin, J T Liu, et al. · International Journal of Emerging Electric Power Systems (2025) | TGRS Research Map | TGRS