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<p>To enhance the control performance of the speed sensorless control system for a fault-tolerant permanent magnet vernier&#xa0;rim-driven motor (FTPMV–RDM), an accurate rotor position estimation algorithm using an improved adaptive sliding mode observer (ASMO) is proposed in this paper, and the proposed algorithm is optimized in the following two ways. First, the sliding surface and sliding mode reaching law are optimized to improve the accuracy of estimating back electromotive force (back-EMF), which can reduce the chattering phenomenon in rotor position estimation. Second, the accuracy of rotor position estimation is significantly improved through an improved quadrature phase-locked loop (Q-PLL) with feed-forward compensation. The improved ASMO is experimentally verified on an FTPMV–RDM sensorless control system. Experimental results indicate that the proposed rotor position estimation method can accurately estimate the speed and rotor position of the FTPMV–RDM under both normal and single-phase open-circuit (OC) fault conditions, which verifies the feasibility and effectiveness of the proposed method.</p>

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Position sensorless control of fault-tolerant permanent magnet vernier rim-driven motors based on improved adaptive sliding mode observer

  • 期刊论文

  • 发表日期：

    2025年8月4日

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  • Xiaozhen Zhang,
  • Jingwei Zhu,
  • Jun Wu,
  • Yunqi Qiu,
  • Shukuan Zhang

摘要

To enhance the control performance of the speed sensorless control system for a fault-tolerant permanent magnet vernier rim-driven motor (FTPMV–RDM), an accurate rotor position estimation algorithm using an improved adaptive sliding mode observer (ASMO) is proposed in this paper, and the proposed algorithm is optimized in the following two ways. First, the sliding surface and sliding mode reaching law are optimized to improve the accuracy of estimating back electromotive force (back-EMF), which can reduce the chattering phenomenon in rotor position estimation. Second, the accuracy of rotor position estimation is significantly improved through an improved quadrature phase-locked loop (Q-PLL) with feed-forward compensation. The improved ASMO is experimentally verified on an FTPMV–RDM sensorless control system. Experimental results indicate that the proposed rotor position estimation method can accurately estimate the speed and rotor position of the FTPMV–RDM under both normal and single-phase open-circuit (OC) fault conditions, which verifies the feasibility and effectiveness of the proposed method.