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<p>The fault-tolerant permanent magnet rim-driven motor (FTPM-RDM) is a critical propulsion device where performance is primarily evaluated based on its output speed and stability. This paper introduces a fuzzy adaptive control strategy to enhance these metrics. The core innovation of our approach is its ability to achieve improvements in dynamic response, disturbance rejection, and inherent fault tolerance within a unified control framework. The proposed controller was rigorously tested under three conditions: sudden speed changes (from 200 r/min to 500 r/min), abrupt load variations (from 0 to 10 N·m), and partial fault scenarios. The results demonstrate a significant performance improvement over the conventional PI controller. The response time for a speed step change was reduced by 81.2% (from 0.356&#xa0;s to 0.067&#xa0;s), and the response time for a load torque transient was shortened from 0.669&#xa0;s to 0.51&#xa0;s. These findings verify the feasibility, robustness, and superior performance of the proposed fuzzy adaptive control method for the FTPM-RDM.</p>

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Fuzzy adaptive control-based speed regulation strategy for fault-tolerant permanent magnet rim-driven motors

  • 期刊论文

  • 发表日期：

    2026年3月30日

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  • Hao Sun,
  • Jingwei Zhu,
  • Xiaozhen Zhang,
  • Zhongjiu Zheng,
  • Haichuan Cao

摘要

The fault-tolerant permanent magnet rim-driven motor (FTPM-RDM) is a critical propulsion device where performance is primarily evaluated based on its output speed and stability. This paper introduces a fuzzy adaptive control strategy to enhance these metrics. The core innovation of our approach is its ability to achieve improvements in dynamic response, disturbance rejection, and inherent fault tolerance within a unified control framework. The proposed controller was rigorously tested under three conditions: sudden speed changes (from 200 r/min to 500 r/min), abrupt load variations (from 0 to 10 N·m), and partial fault scenarios. The results demonstrate a significant performance improvement over the conventional PI controller. The response time for a speed step change was reduced by 81.2% (from 0.356 s to 0.067 s), and the response time for a load torque transient was shortened from 0.669 s to 0.51 s. These findings verify the feasibility, robustness, and superior performance of the proposed fuzzy adaptive control method for the FTPM-RDM.