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转向架系统簧上质量的物理参数识别

本站小编 Free考研考试/2022-02-13

DOI: 10.11908/j.issn.0253-374x.2019.09.012

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中图分类号: U270.7


基金项目: 国家自然科学基金项目(51805373)




Physical Parameter Identification of the Mass above the Suspension of the Bogie System
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摘要:提出了基于质量感应法、状态空间理论和模态空间理论的3种转向架系统簧上质量物理参数识别方法,设计了用于物理参数识别的定向激励测试工况,并通过仿真试验对以上参数识别方法进行验证及对比分析.结果表明,当采用质量感应法、状态空间理论和模态空间理论时,附加质量大小分别选取为系统质量的8%、17%和7%时识别精度较高;总体来看,模态空间理论的识别精度最高,状态空间理论次之,质量感应法最低;就质量参数、惯量参数、一系垂向刚度及阻尼参数识别而言,可以不考虑转向架簧上质量质心与一系悬挂下作用点位置高度差的影响;在高度差较小时,也可忽略其对结构参数识别精度的影响.



Abstract:Based on mass induction method, state space theory and modal space theory, three methods were proposed for identifying physical parameters of the mass above the suspension of the bogie system. Designed directional excitation test conditions for physical parameter identification. The above physical parameter identification methods were verified and compared by simulation test. The results show that when using mass induction method, state space theory, and modal space theory, the additional mass size is selected as 8%, 17% and 7% of the system quality respectively, the higher recognition accuracy can be achieved. In general, the modal space theory has the highest recognition accuracy, the state space theory is second, and the mass induction method is the worst. For the identification of quality parameters, inertia parameters, vertical stiffness and damping parameters, the influence of the height between the centroid of the mass above the suspension of the bogie system and the position of the lower point of the suspension can be ignored. When the height is small, the influence of the structural parameter identification error can be ignored.





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