Scholarlink

<p>This paper presents an enhanced control strategy for torque ripple mitigation in switched reluctance motors (SRMs) by combining a torque online correction (TOC) method with a composite speed controller. The proposed TOC dynamically allocates the reference torque using an optimized torque sharing function (TSF), predicts torque boundaries based on real-time phase currents, and applies online correction through lookup tables to ensure precise tracking between actual and reference phase torques. To further improve dynamic performance, a composite speed controller integrating an extended sliding mode disturbance observer (ESMDO) and adaptive sliding mode control (ASMC) is developed. The ASMC incorporates an innovative reaching law to suppress chattering and accelerate convergence, while the ESMDO provides robust disturbance estimation for internal and external uncertainties. Experimental results demonstrate that the proposed method significantly reduces torque ripple, enhances speed response, and improves overall system robustness against disturbances. The integrated approach achieves superior performance compared to conventional control methods while maintaining practical feasibility for implementation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Torque ripple reduction of switched reluctance motors using improved torque sharing function with sliding mode control

  • 期刊论文

  • 发表日期：

    2026年3月24日

查看全文
  • Yifang Wen,
  • Yifei Yang,
  • Xiaodong Sun,
  • Anton Dianov,
  • Galina Demidova,
  • Vladimir Prakht,
  • Renzhong Wang

摘要

This paper presents an enhanced control strategy for torque ripple mitigation in switched reluctance motors (SRMs) by combining a torque online correction (TOC) method with a composite speed controller. The proposed TOC dynamically allocates the reference torque using an optimized torque sharing function (TSF), predicts torque boundaries based on real-time phase currents, and applies online correction through lookup tables to ensure precise tracking between actual and reference phase torques. To further improve dynamic performance, a composite speed controller integrating an extended sliding mode disturbance observer (ESMDO) and adaptive sliding mode control (ASMC) is developed. The ASMC incorporates an innovative reaching law to suppress chattering and accelerate convergence, while the ESMDO provides robust disturbance estimation for internal and external uncertainties. Experimental results demonstrate that the proposed method significantly reduces torque ripple, enhances speed response, and improves overall system robustness against disturbances. The integrated approach achieves superior performance compared to conventional control methods while maintaining practical feasibility for implementation.