基于运行工况的车辆系统工作模态分析  

OPERATIONAL MODAL ANALYSIS OF VEHICLE SYSTEM BASED ON OPERATIONAL CONDITIONS

作　　者：孙志春[1,2] 周志立[3] 李言[1] 谢基龙[4] 谢云叶[2] 

机构地区：[1]西安理工大学机械与精密仪器工程学院,陕西西安710048 [2]济宁职业技术学院,山东济宁272037 [3]河南科技大学车辆与动力工程学院,河南洛阳454900 [4]北京交通大学机械与电子控制工程学院.北京100044

出　　处：《山东农业大学学报（自然科学版）》2012年第3期470-474,共5页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：济宁市科技发展计划项目(车辆刚柔耦合多体系统动力学特性研究);济宁职业技术学院博士基金项目(2010BSLX02)资助

摘　　要：对运行工况下某一特种车辆系统的模态参数,基于计算模态分析方法进行了计算分析;推导了基于运行工况的该车辆系统随机子空间模态识别算法,得到了其工作模态参数的估算公式。同时,对该车辆系统进行了实际运行工况下的模态识别试验,用上述算法估算公式计算了其工作模态参数,并与计算模态分析结果作了比较。对比结果表明,该车辆系统需要考虑的前8阶工作模态的阻尼比和模态频率等参数的识别结果误差分别为:3.86%～11.61%和0.61%～8.32%,由此说明该识别方法具有较高的识别精度,分析方法可行、有效,能满足运行工况下车辆系统振动分析需要。Based on the theoretical modal parameter analysis method, the modal parameters of one special vehicle system were analyzed first, and then stochastic subspaee identification method based on operational conditions was presented to form the estimation formula of operational modal parameters of linear vehicle system. At last, the modal parameters of linear vehicle system were identified by SSI after its vibration test under operational conditions, and were simultaneously compared to the results obtained by the theoretical modal parameter analysis method. Comparison results of the former 8 order operational modals of the vehicle system show discrepancies of 3.86 - 11.61 percent on modal damping ratios and0.61 - 8.32 percent on modal frequencies, which implies that stochastic subspace identification method based on the operational condition is feasible and effective, and has comparatively higher precision to meet the needs of the analysis of vehicle system under operational conditions.

关 键 词：车辆系统 运行工况 计算模态 随机子空间法 工作模态分析 

分 类 号：U270.1[机械工程—车辆工程]