家电科技 ›› 2023, Vol. 0 ›› Issue (5): 70-75.doi: 10.19784/j.cnki.issn1672-0172.2023.05.012

• 论文 • 上一篇    下一篇

电机支架振动性能预测方法研究及验证

陈国平1,2, 张旭1,2, 王相乾1,2, 陈澎钰1,2, 张进男1,2   

  1. 1.海信家电集团有限公司研发中心 山东青岛 266100;
    2.海信空调有限公司 山东青岛 266100
  • 出版日期:2023-10-01 发布日期:2024-02-02
  • 作者简介:陈国平,男,硕士学位。研究方向:空调器的减振降噪。E-mail:chenguoping@hisense.com。

Research and verification on prediction method of vibration performance of motor support

CHEN Guoping1,2, ZHANG Xu1,2, WANG Xiangqian1,2, CHEN Pengyu1,2, ZHANG Jinnan1,2   

  1. 1. R&D Center, Hisense Home Appliance Group Co., Ltd. Qingdao 266100;
    2. Hisense Air Conditioning Co., Ltd. Qingdao 266100
  • Online:2023-10-01 Published:2024-02-02

摘要: 为了实现电机支架振动性能的仿真预测,提出了一种基于载荷提取-动态响应仿真联合的分析方法。首先基于矩阵求逆法进行电机动态载荷识别,然后建立有限元模型,将提取到的电机载荷作为激励进行谐响应仿真分析,获得目标点的频响曲线,最后进行试验与仿真的对比,分别比较10~150 Hz频段内的频域相应曲线的拟合程度和RMS值的变化趋势。结果表明:载荷提取试验的测试结果和拟合结果的吻合度较高,载荷精度较高;建立仿真模型与模态测试的固有频率偏差均在5%以内,振型对比的MAC值均在95%以上,说明模型精度较高;工况数据与频响曲线吻合度较高,试验RMS值与仿真RMS值的误差最低仅为5.82%,实现了电机支架振动性能的仿真预测。

关键词: 动载荷, 精度提升, 逆矩阵, 传递路径分析, 谐响应

Abstract: In order to achieve simulation and prediction of the vibration performance of motor supports, proposed an analysis method based on the combination of load extraction and finite element simulation. Firstly, the dynamic load identification of the motor is carried out based on the matrix inversion method. Then establish a finite element model, use the extracted motor load as an excitation for harmonic response simulation analysis, and obtain the frequency response curve of the target point. Finally, a comparison was conducted between experiments and simulations to compare the fitting degree of the corresponding frequency domain curves and the trend of RMS values within the 10~150 Hz frequency zone. The results show that the test results of the load extraction experiment have a high degree of agreement with the fitting results, and the load accuracy is relatively high. The deviation between the natural frequency of the established simulation model and the natural frequency of the modal test is within 5%, and the MAC value of the vibration mode comparison is above 95%, indicating high model accuracy. The consistency between the working condition data and the frequency response curve is high, and the minimum error between the experimental RMS value and the simulated RMS value is only 5.82%, achieving simulation prediction of the vibration performance of the motor support.

Key words: Dynamic load, Accuracy improvement, Matrix inversion, TPA, Harmonic response

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