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<p>This paper proposes a simplified model predictive current control (MPCC) scheme for a novel neutral-point-connected open-end winding induction motor (NPC-OEWIM). The system is powered by a dual three-phase four-leg inverter, configured with a DC-link voltage ratio of 2:1, which introduces a connected neutral point to enhance control performance and system stability. Conventional MPCC methods for such systems suffer from high computational complexity due to the requirement to evaluate 91 effective voltage vectors (VVs) corresponding to the 256 switching states. To address this challenge, a cascaded split-sequence control strategy is proposed. The method first projects the 3D VVs onto the <i>αβ</i> plane, then determines the candidate VVs for the first inverter, refines the candidate VVs set for the second inverter based on the state of the first inverter, and finally selects the optimal VVs based on zero-sequence components. This approach reduces the number of predictive iterations from 91 to 23, achieving a 75% reduction in computational burden. Furthermore, the proposed method eliminates the requirement for weight coefficients, simplifying controller design and implementation. Despite these simplifications, all switching states are evaluated to ensure system robustness and high control performance. Experimental results validate the effectiveness of the proposed MPCC scheme, demonstrating significant computational efficiency and robust performance, making it well-suited for high-performance industrial applications.</p>

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

  • 期刊论文

  • 发表日期：

    2025年8月29日

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  • Leilei Guo,
  • Jiaming Liu,
  • Yanyan Li,
  • Yihuan Jing

摘要

This paper proposes a simplified model predictive current control (MPCC) scheme for a novel neutral-point-connected open-end winding induction motor (NPC-OEWIM). The system is powered by a dual three-phase four-leg inverter, configured with a DC-link voltage ratio of 2:1, which introduces a connected neutral point to enhance control performance and system stability. Conventional MPCC methods for such systems suffer from high computational complexity due to the requirement to evaluate 91 effective voltage vectors (VVs) corresponding to the 256 switching states. To address this challenge, a cascaded split-sequence control strategy is proposed. The method first projects the 3D VVs onto the αβ plane, then determines the candidate VVs for the first inverter, refines the candidate VVs set for the second inverter based on the state of the first inverter, and finally selects the optimal VVs based on zero-sequence components. This approach reduces the number of predictive iterations from 91 to 23, achieving a 75% reduction in computational burden. Furthermore, the proposed method eliminates the requirement for weight coefficients, simplifying controller design and implementation. Despite these simplifications, all switching states are evaluated to ensure system robustness and high control performance. Experimental results validate the effectiveness of the proposed MPCC scheme, demonstrating significant computational efficiency and robust performance, making it well-suited for high-performance industrial applications.