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<p>This paper presents a robust deadbeat predictive current control (DPCC) strategy for switched reluctance motors (SRMs) under unipolar sinusoidal excitation. First, to address the significant impact of periodic disturbances on dq0-axis current control performance, a detailed analysis of the disturbance characteristics is conducted, highlighting the limitations of conventional DPCC in suppressing inherent periodic disturbances. To overcome these limitations, a periodic disturbance attenuation controller is introduced in a parallel configuration within a Kalman filter-based DPCC framework, effectively mitigating the influence of periodic disturbances. Second, to reduce the coupling effect between reference current tracking and disturbance rejection caused by the parallel control structure, a dual-loop DPCC framework is developed. This novel framework enhances both dynamic and steady-state control performance. Comparative simulations and experimental studies validate the proposed strategy, demonstrating its superior ability to attenuate periodic disturbances and maintain excellent control performance, even under parameter variations and diverse operating conditions.</p>

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Enhanced deadbeat predictive current control for unipolar sinusoidal excited SRMs with periodic disturbances rejection

  • 期刊论文

  • 发表日期：

    2025年5月24日

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  • Di Liu,
  • Yunsheng Fan,
  • Jian Liu,
  • Guofeng Wang,
  • Linhao Sheng

摘要

This paper presents a robust deadbeat predictive current control (DPCC) strategy for switched reluctance motors (SRMs) under unipolar sinusoidal excitation. First, to address the significant impact of periodic disturbances on dq0-axis current control performance, a detailed analysis of the disturbance characteristics is conducted, highlighting the limitations of conventional DPCC in suppressing inherent periodic disturbances. To overcome these limitations, a periodic disturbance attenuation controller is introduced in a parallel configuration within a Kalman filter-based DPCC framework, effectively mitigating the influence of periodic disturbances. Second, to reduce the coupling effect between reference current tracking and disturbance rejection caused by the parallel control structure, a dual-loop DPCC framework is developed. This novel framework enhances both dynamic and steady-state control performance. Comparative simulations and experimental studies validate the proposed strategy, demonstrating its superior ability to attenuate periodic disturbances and maintain excellent control performance, even under parameter variations and diverse operating conditions.