磁浮车辆运行平稳性的虚拟激励分析方法

周劲松; 李大光; 沈钢; 任利惠; 张祥韦

磁浮车辆运行平稳性的虚拟激励分析方法

同济大学铁道与城市轨道交通研究院上海 200092

基金项目:

国家863计划项目 2005AA505010-502

详细信息

作者简介:
周劲松(1969-), 男, 四川涪陵人, 同济大学副教授, 工学博士, 从事车辆动力学研究

中图分类号: U270.11
计量
- 文章访问数: 262
- HTML全文浏览量: 97
- PDF下载量: 387
- 被引次数: 0
出版历程
- 收稿日期: 2007-07-12
- 刊出日期: 2008-02-25

Pseudo-excitation analysis method of riding quality for maglev vehicle

Institute of Railway and Urban Mass Transit, Tongji University, Shanghai 200092, China

More Information

Author Bio:
Zhou Jin-song(1969-), male, PhD, associate professor, + 86-21-69584714, jinsong.zhou@mail.tongji.edu.cn

摘要

摘要: 为方便、快速地分析多点输入轨道车辆的平稳性, 基于虚拟激励原理, 提出了平稳性分析方法。当车辆系统受多点全相关随机激励时, 应用此方法将多输入多输出系统的响应功率谱矩阵的计算化简为两个矢量相乘, 利用所获得的功率谱和随机振动中的反演技术, 分析轨道车辆的平稳性指标。以TR08磁浮车辆为原型, 建立了磁浮车辆的垂向动力学模型, 运用虚拟激励分析方法计算了磁浮车辆的响应功率谱。在频域中, 磁浮车辆车体中心处的Sperling指标为1.653, 车辆的平稳性等级为优, 通过反演运算获得了响应的幅值谱和时间历程, 分析过程简单, 计算结果准确。
- 车辆工程 /
- 磁浮车辆 /
- 运行平稳性 /
- 虚拟激励分析方法
Abstract: In order to facilitate the riding quality analysis of multi-input tracked vehicle, a new analysis method was proposed based on pseudo-excitation algorithm. When vehicle system was subjected to multi-point coherent excitations, the method simplified the calculation of response PSD matrix for a MIMO(multi-input and multi-output) system into the product of two vectors, and with response PSD matrix and inverse analysis technique, the riding index of tracked vehicle can be obtained quickly. A vertical dynamics model of maglev vehicle was built based on TR08 vehicle, and its response spectrums were analyzed with the method. The Sperling index is 1.653 at the center of car body in frequency domain, the rank of riding quality is fine, the amplitude spectrum and time history of the response can be obtained by using inverse analysis technique, and the analysis procedure is convenient and fast, so the method is feasible.
- vehicle engineering /
- maglev vehicle /
- riding quality /
- pseudo-excitation analysis method

HTML全文

图 1 虚拟激励法的基本原理

Figure 1. Basic principle of pseudo-excitation algorithm

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图 2 磁浮列车垂向动力学模型

Figure 2. Vertical dynamics model of maglev train

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图 3 磁浮车辆二系悬挂模型

Figure 3. Secondary suspension model of maglev vehicle

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图 4 轨道谱比较

Figure 4. Comparison of track spectrums

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图 5 反演时域信号

Figure 5. Inversed time signal

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图 6 位移功率谱

Figure 6. Displacement power spectrums

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图 7 加速度功率谱

Figure 7. Acceleration power spectrums

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图 8 幅值谱

Figure 8. Amplitude spectrum

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图 9 时间历程

Figure 9. Time history

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