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基于数字孪生的健康服役框架及其在永磁同步电机的应用

郭浩宇 王少萍 石健 张育玮

郭浩宇,王少萍,石健,等. 基于数字孪生的健康服役框架及其在永磁同步电机的应用[J]. 北京航空航天大学学报,2026,52(5):1647-1656
引用本文: 郭浩宇,王少萍,石健,等. 基于数字孪生的健康服役框架及其在永磁同步电机的应用[J]. 北京航空航天大学学报,2026,52(5):1647-1656
GUO H Y,WANG S P,SHI J,et al. Digital twin-based health service framework and its application in permanent magnet synchronous motors[J]. Journal of Beijing University of Aeronautics and Astronautics,2026,52(5):1647-1656 (in Chinese)
Citation: GUO H Y,WANG S P,SHI J,et al. Digital twin-based health service framework and its application in permanent magnet synchronous motors[J]. Journal of Beijing University of Aeronautics and Astronautics,2026,52(5):1647-1656 (in Chinese)

基于数字孪生的健康服役框架及其在永磁同步电机的应用

doi: 10.13700/j.bh.1001-5965.2024.0110
基金项目: 

国家自然科学基金(U2233212);北京市自然科学基金(L221008);国家留学基金(202106020001)

详细信息
    通讯作者:

    E-mail:shaopingwang@buaa.edu.cn

  • 中图分类号: TP391.9

Digital twin-based health service framework and its application in permanent magnet synchronous motors

Funds: 

National Natural Science Foundation of China (U2233212); Beijing Municipal Natural Science Foundation (L221008); Chinese Government Overseas Study Fund (202106020001)

More Information
  • 摘要:

    现代机电系统研制周期短、健康服役要求高,传统的设计方法已无法满足研制需求,尤其无法表征机电系统健康服役状态变化、性能退化及外部干扰和不确定性的影响。针对该问题,聚焦机电系统健康服役,提出一种基于数字孪生的机电系统健康服役框架,旨在高效利用全生命周期数据实现快速迭代。该框架涵盖了设备的整个服役周期,能够利用不同阶段的工况数据更新数字孪生模型,实现对设备实时状态的准确检测。这种基于数字孪生的方法不仅能够在模型中模拟机电系统的服役状态,还能实时评估机电系统的健康状态,更好地满足现代机电系统的研制和服役需求。以航空航天领域常用的机电驱动设备永磁同步电机为例,证明了所提方法的有效性和实用性。

     

  • 图 1  基于数字孪生的健康服役框架

    Figure 1.  Digital twin-based health service framework

    图 2  虚拟对象、本体参数和状态参数示意图

    Figure 2.  Schematic diagram of virtual objects, ontology parameters, and state parameters

    图 3  永磁同步电机的结构

    Figure 3.  Structure of permanent magnet synchronous motor

    图 4  永磁同步电机的控制框图

    Figure 4.  Control block diagram of permanent magnet synchronous motor

    图 5  永磁同步电机的数字孪生系统

    Figure 5.  Digital twin system of permanent magnet synchronous motors

    图 6  不同工况下孪生数据的迭代更新结果

    Figure 6.  Iterative update results of twin data under different working conditions

    图 7  永磁同步电机实测电流

    Figure 7.  Measured current of permanent magnet synchronous motor

    图 8  基于数字孪生的永磁体磁链变化

    Figure 8.  Digital twin-based flux variation of permanent magnet

    图 9  实体电机及其孪生体不同服役期电流对比

    Figure 9.  Comparison of current of physical motor and its twin in different service periods

    表  1  永磁同步电机关键参数值

    Table  1.   Key parameter values of permanent magnet synchronous motor

    本体参数 数值
    磁链 $ {\psi }_{f} $/Wb 0.153
    电感LLd=Lq=L)/mH 1.24
    电阻R 0.36
    下载: 导出CSV

    表  2  永磁同步电机健康维护措施

    Table  2.   Health maintenance measures for permanent magnet synchronous motors

    健康状态 维护措施
    轻度退化 定期清洁,正常使用
    中度退化 调整磁极位置,检查绕组
    重度退化 更换永磁体,检修电机其余部件
    再次重度退化 更换整个电机
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-02-28
  • 录用日期:  2024-05-10
  • 网络出版日期:  2024-08-01
  • 整期出版日期:  2026-05-26

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