电气工程学报 ›› 2023, Vol. 18 ›› Issue (2): 16-25.doi: 10.11985/2023.02.003

• 电机与电器 • 上一篇    下一篇

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基于结构参数优化的电机振动噪声的抑制研究*

王群京1(), 郑耀达2,3(), 刘先增4   

  1. 1.安徽大学电气工程与自动化学院 合肥 230601
    2.安徽大学高节能电机及控制技术国家地方联合实验室 合肥 230601
    3.安徽大学教育部电能质量工程研究中心 合肥 230601
    4.安徽大学工业节电与用电安全安徽省重点实验室 合肥 230601
  • 收稿日期:2022-10-19 修回日期:2022-12-12 出版日期:2023-06-25 发布日期:2023-07-12
  • 作者简介:王群京,男,1960年生,教授,博士研究生导师。主要研究方向为电机设计与控制。E-mail:wangqunjing@ahu.edu.cn
    郑耀达,男,1995年生,硕士研究生。主要研究方向为电机结构设计与振动噪声分析。E-mail:zyd5091518@163.com
  • 基金资助:
    国家自然科学基金重点资助项目(51637001)

Research on Suppression of Motor Vibration and Noise Based on Structural Parameter Optimization

WANG Qunjing1(), ZHENG Yaoda2,3(), LIU Xianzeng4   

  1. 1. School of Electrical Engineering and Automation, Anhui University, Hefei 230601
    2. National Engineering Laboratory of Energy-Saving Motor & Control Technique, Anhui University, Hefei 230601
    3. Power Quality Engineering Research Center, Ministry of Education, Anhui University, Hefei 230601
    4. Anhui Key Laboratory of Industrial Energy-Saving and Safety, Anhui University, Hefei 230601
  • Received:2022-10-19 Revised:2022-12-12 Online:2023-06-25 Published:2023-07-12

摘要:

在保证电机输出性能的基础上,通过优化电机定子结构并调节引起电机主要振动噪声的模态频率来避免电机发生共振,从而降低永磁同步电机的振动噪声。首先通过试验和仿真分析电机的振动噪声,确定引起电磁噪声的主要电磁力阶次;随后将电机的定子结构参数作为变量,通过对其进行敏感度分析选取高敏感度优化变量,建立优化变量的响应面模型;然后,基于所建立的响应面模型,利用遗传算法对所取变量进行参数优化,得到最优定子结构参数;最后,采用有限元法计算和分析电机优化前后的电机输出性能,并通过电机电磁振动噪声仿真验证优化方法的正确性,结果表明优化后的电机输出性能得到了明显提升且电机的振动噪声得到了有效抑制。

关键词: 内置式永磁同步电机, 振动噪声, 径向电磁力, 参数优化

Abstract:

With guaranteeing the motor output performance, by optimizing the motor stator structure, the modal frequency arousing the main vibration and noise of the motor is adjusted to avoid resonances, thereby reducing the vibration and noise of the permanent magnet synchronous motor. First, experiment and simulation are conducted to analyze the vibration and noise of the motor, based on which the main order of the electromagnetic force causing electromagnetic noise is determined. Next, taking the stator structural parameters of the motor as variables, the high-sensitivity optimization variables are selected through sensitivity analysis and the response surface model of the selected optimization variables is developed. Afterwards, based on the developed response surface model, the parameters of the variables are optimized by the genetic algorithm to obtain the optimal structure parameters of the stator. Finally, the output performances of the motor before and after optimization are calculated and analyzed by the finite element method, the correctness of the optimization method is verified by the simulation of the electromagnetic vibration and noise of the motor. After optimization, the output performance of the motor is obviously improved and the vibration and noise of the motor are effectively suppressed.

Key words: Interior permanent magnet synchronous motor, vibration and noise, radial electromagnetic force, parameter optimization

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