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<p>To obtain high robustness and performance, this article proposes a mutation bandwidth extended state observer (MB-ESO) based on the recursive least squares (RLS) algorithm for the deadbeat predictive current control method (DPCC–MB-ESO). First, the mathematical model of the permanent magnet synchronous motor (PMSM), the deadbeat predictive current control (DPCC) method, and disturbance analysis are presented. Next, a mutation bandwidth observer based on the RLS algorithm is introduced, which can respond transiently to the frequency of step disturbances. Furthermore, the stability and high convergence of the MB-ESO are demonstrated. Finally, leveraging the MB-ESO, the proposed DPCC method is developed. Experimental results validate the strong robustness and excellent dynamic tracking performance of the proposed method in PMSM systems.</p>

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A mutation bandwidth extended state observer for PMSM deadbeat control systems

  • 期刊论文

  • 发表日期：

    2025年7月17日

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  • Tingting Xie,
  • Hongwei Zhang,
  • Yong Yu,
  • Ruiqi Li

摘要

To obtain high robustness and performance, this article proposes a mutation bandwidth extended state observer (MB-ESO) based on the recursive least squares (RLS) algorithm for the deadbeat predictive current control method (DPCC–MB-ESO). First, the mathematical model of the permanent magnet synchronous motor (PMSM), the deadbeat predictive current control (DPCC) method, and disturbance analysis are presented. Next, a mutation bandwidth observer based on the RLS algorithm is introduced, which can respond transiently to the frequency of step disturbances. Furthermore, the stability and high convergence of the MB-ESO are demonstrated. Finally, leveraging the MB-ESO, the proposed DPCC method is developed. Experimental results validate the strong robustness and excellent dynamic tracking performance of the proposed method in PMSM systems.