袁野, 叶腾, 杨帆, 丁世宏, 徐波, 孙玉坤. 12/14无轴承开关磁阻电机双系统性能统一优化策略[J]. 中国电机工程学报, 2025, 45(7): 2800-2809. DOI: 10.13334/j.0258-8013.pcsee.231829
引用本文: 袁野, 叶腾, 杨帆, 丁世宏, 徐波, 孙玉坤. 12/14无轴承开关磁阻电机双系统性能统一优化策略[J]. 中国电机工程学报, 2025, 45(7): 2800-2809. DOI: 10.13334/j.0258-8013.pcsee.231829
YUAN Ye, YE Teng, YANG Fan, DING Shihong, XU Bo, SUN Yukun. Unified Optimization Strategy of Torque/Suspension System Performance for 12/14 Bearingless Switched Reluctance Motor[J]. Proceedings of the CSEE, 2025, 45(7): 2800-2809. DOI: 10.13334/j.0258-8013.pcsee.231829
Citation: YUAN Ye, YE Teng, YANG Fan, DING Shihong, XU Bo, SUN Yukun. Unified Optimization Strategy of Torque/Suspension System Performance for 12/14 Bearingless Switched Reluctance Motor[J]. Proceedings of the CSEE, 2025, 45(7): 2800-2809. DOI: 10.13334/j.0258-8013.pcsee.231829

12/14无轴承开关磁阻电机双系统性能统一优化策略

Unified Optimization Strategy of Torque/Suspension System Performance for 12/14 Bearingless Switched Reluctance Motor

  • 摘要: 12/14无轴承开关磁阻电机(bearingless switched reluctance motor,BSRM)结构参数对转矩系统关键性能和悬浮系统关键性能表征出不同的影响规律,导致转矩系统与悬浮系统关键性能难以统一优化。针对上述问题,该文提出12/14 BSRM转矩/悬浮双系统关键性能统一优化策略。在探明12/14 BSRM结构参数对转矩系统关键性能和悬浮系统关键性能影响规律的基础上,分类定义非灵敏变量、单系统灵敏变量与双系统灵敏变量;进一步,着重针对单系统灵敏变量和双系统灵敏变量分别开展递进式单系统粗优化和交互式双系统协同优化,依次得到单转矩系统灵敏变量最优值、单悬浮系统灵敏变量最优值和双系灵敏变量最优值;最后,对比分析优化前后的12/14 BSRM转矩系统和悬浮系统关键性能,并搭建实验平台对优化后的样机进行性能测试,仿真和实验结果验证了所提优化策略的高效性和可行性。

     

    Abstract: The structure parameters of the 12/14 bearingless switched reluctance motor (BSRM) have different influence law for key performance of torque system and suspension system, which makes it difficult to uniformly optimize the key performances of the torque/suspension system. In this paper, a unified optimization strategy of the 12/14 BSRM torque/suspension dual system is proposed. The single system sensitive variable and the dual-system sensitive variable in the proposed optimization strategy are innovatively defined from the characteristic influence patterns of 12/14 BSRM parameters on the key performance of torque system and suspension system. Furthermore, the progressive single system coarse optimization is carried out for the single system sensitive variables, and the interactive dual-system cooperative optimization is carried out for the dual-system sensitive variables. The optimal value of the single torque system sensitive variable, the optimal value of the single suspension system sensitive variable and the optimal value of the dual-system sensitive variable are obtained successively. Finally, a comparative analysis is conducted on the key performance of the 12/14 BSRM torque and suspension systems before and after optimization, and an experimental platform is built to test the performance of the optimized motor. The high efficiency and feasibility of the unified optimization method for key performance of dual systems are verified by simulation and experimental results.

     

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