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<p>This paper proposes a Model Predictive Torque Control (MPTC) strategy for a five-phase Switched Reluctance Motor (SRM) that combines sector optimization with an enhanced Torque Sharing Function (TSF). This strategy aims to enhance system efficiency while mitigating torque ripple. First, an LUT-based torque prediction scheme is formulated. Subsequently, sector optimization is applied to partition an electrical cycle into 15 sectors, which effectively reduces the number of candidate voltage vectors (CVVs) and improves system efficiency. Finally, considering the characteristics of three-phase and two-phase alternating conduction in five-phase SRM, an improved TSF is designed to enhance torque-tracking performance and suppress torque ripple. Experimental validation on a 10/8 five-phase SRM prototype demonstrates that the proposed strategy outperforms conventional control methods in terms of torque ripple, efficiency, and dynamic response. This strategy provides innovative insights into the control of five-phase SRM.</p>

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Sector-Optimized Model Predictive Torque Control of Five-Phase SRM with Torque Sharing Function

  • 期刊论文

  • 发表日期：

    2026年2月10日

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  • Ke Li,
  • Hao Zhang,
  • Xiaodong Sun,
  • Chao Sun,
  • Anton Dianov,
  • Galina Demidova,
  • Vladimir Prakht,
  • Yong Wang

摘要

This paper proposes a Model Predictive Torque Control (MPTC) strategy for a five-phase Switched Reluctance Motor (SRM) that combines sector optimization with an enhanced Torque Sharing Function (TSF). This strategy aims to enhance system efficiency while mitigating torque ripple. First, an LUT-based torque prediction scheme is formulated. Subsequently, sector optimization is applied to partition an electrical cycle into 15 sectors, which effectively reduces the number of candidate voltage vectors (CVVs) and improves system efficiency. Finally, considering the characteristics of three-phase and two-phase alternating conduction in five-phase SRM, an improved TSF is designed to enhance torque-tracking performance and suppress torque ripple. Experimental validation on a 10/8 five-phase SRM prototype demonstrates that the proposed strategy outperforms conventional control methods in terms of torque ripple, efficiency, and dynamic response. This strategy provides innovative insights into the control of five-phase SRM.