PDF下载

[1]洪学武,赵坚,刘海强,等.电机整机结构振动模态试验与参数识别研究[J].微电机,2020,53(06):29-32.
　HONG Xuewu,ZHAO Jian,LIU Haiqiang,et al.Research on Vibration Modal Experiment and Parameters Identification of Motor Whole-machine[J].MICROMOTORS,2020,53(06):29-32.

点击复制

电机整机结构振动模态试验与参数识别研究

《微电机》[ISSN:1006-6977/CN:61-1281/TN] 卷: 53卷期数: 2020年06期页码: 29-32 栏目: 出版日期: 2020-06-28

Title:: Research on Vibration Modal Experiment and Parameters Identification of Motor Whole-machine

作者:: 洪学武¹,赵坚¹,刘海强¹,于明²,王晓远³; (1.天津城建大学控制与机械工程学院,天津 300384; 2.天津城建大学计算机与信息工程学院,天津 300384; 3.天津大学电气自动化与信息工程学院,天津 300072)

Author(s):: HONG Xuewu¹,ZHAO Jian¹,LIU Haiqiang¹,YU Ming²,WANG Xiaoyuan³; (1.School of Control and Mechanical Engineering,Tianjin Chengjian University,Tianjin 300384,China; 2. School of Computer and Information Engineering, Tianjin Chengjian University,Tianjin 300384,China; 3. School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China)

关键词:: 振动特性; 试验模态分析; 锤击法; 随机子空间模态识别法

Keywords:: vibration characteristics; experimental modal analysis; hammering method; stochastic subspace modal identification method

分类号:: TM301

文献标志码:: A

摘要:: 为提高电机运行的稳定性,降低振动噪声对其使用性能和寿命的影响,利用随机子空间模态识别方法对某型号电动机整机进行了模态分析。详细阐述了随机子空间模态识别法的数学原理,采用锤击法完成电机整机的模态测试,进一步识别出电机的四阶模态参数,固有频率、阻尼比及振型,根据分析结果找出电机的风扇罩和定子外壳中间位置为结构的薄弱环节,进而提出了相应的改进设计方法与减振措施。分析结果表明随机子空间法可用于电机整机结构的模态参数识别,分析结果为电机的结构动力修改与优化设计提供了参考数据

Abstract:: To improve the operation stability of electric motor and reduce the impact of vibration and noise on its performance and life, the modal analysis based on stochastic subspace modal identification of a certain type of motor was performed. Firstly, the mathematical principle of Stochastic subspace identification was explained in detail. Secondly, the modal test of the whole motor structure was completed using the hammer method, and then four orders natural frequency, damping ratio and mode shape were identified. Finally, the weak points of the structure were found in the middle of the fan cover and the stator housing of the motor from the modal experiment result analysis, and corresponding designed approaches and measure of vibration mitigation. The example analysis shows that the Stochastic subspace identification method can be used to identify the modal parameters of the motor whole-machine structure, and the analysis results provide a reference date for the electric motor optimization design

参考文献/References:

[1] 郑清铭,左付山,朱泳旭,等.基于模态分析的永磁同步电机振动研究[J].森林工程,2019,35(5): 76- 81.
[2]朱安宇,刘沛麟,刘闯.绕组连接方式对开关磁阻电机振动影响的研究[J].微电机,2020,53(1):6-12.
[3]李昕涛,贡德鹏,冯晓鹏.抽油机用外转子永磁同步电机振动特性研究[J].微电机,2016,49(3):22-24,68.
[4]高鹏,孙汐彬,谭顺乐,等.电动汽车用永磁同步电机电磁振动噪声分析及优化[J].微电机,2019,52(12):7-12.
[5]李晓华,黄苏融,张琪.电动汽车用永磁同步电机定子结构固有频率分析[J].中国电机工程学报,2017,37(8): 2383-2391.
[6]陈益广,韩柏然,沈勇环,等.永磁同步推进电机电磁振动分析[J].电工技术学报,2017,32(23):16-22.
[7]王晓远,贺晓钰,高鹏.电动汽车用V型磁钢转子永磁电机的电磁振动噪声削弱方法研究[J].中国电机工程学报,2019,39(16):4919- 4926,4994.
[8]耿涛,庞瀚文,孙建忠.开关磁阻电机的定子振动分析[J].微电机,2019,52(11):42- 46,92.
[9]王秒. 基于随机子空间法的环境激励模态参数识别[D].大连:大连理工大学,2019.
[10]Li Zhi, Liang Qi Sheng, Mao Hua Jian, et al. Modal Identification of Civil Structures via Covariance-driven Stochastic Subspace Method[J]. Pubmed,2019,16(5).
[11]张永祥,刘心,褚志刚,等.基于随机子空间法的模态参数自动提取[J].机械工程学报,2018,54(9):187-194.
[12]李晓玲,韩超.基于随机子空间法的城市桥梁模态参数识别研究与程序开发[J].工程质量,2018,36(12):71-75.[13]张小宁,段忠东.一种自动识别结构模态参数的随机子空间方法[J].振动工程学报,2017,30(4):542-548.

相似文献/References:

[1]邹小林,王宾,徐永,等.基于Bond Graph的电机驱动转子系统振动特性研究[J].微电机,2022,55(03):1.
　ZOU Xiaolin,WANG Bin,XU Yong,et al.Research on Vibration Characteristics of Motor-Driven Rotor System Based on Bond Graph[J].MICROMOTORS,2022,55(06):1.

备注/Memo

收稿日期:2020-04-17
基金项目:天津市自然科学基金(重点)项目(16JCZDJC38600); 天津市科技发展战略研究计划项目(19ZLZXZF00330); 天津市科技特派员项目(19JCTPJC49000)。
作者简介:洪学武(1989),男,硕士,助理实验师,研究方向为动态测试与智能诊断。
赵坚(1966),女,博士,教授,研究方向为动态测试与智能诊断。
通讯作者:王晓远(1962),男,博士,教授,博士生导师,研究方向为电机振动噪声的分析与计算。

更新日期/Last Update: 1900-01-01