微特电机 ›› 2026, Vol. 54 ›› Issue (8): 1-7.

• 理论研究 •    下一篇

多源激励下减速电机的振动分析与抑制

潘夏琛1,颜  冬1,2,史婷娜1,2   

  1. 1. 浙江大学 电气工程学院,杭州 310027;2. 浙江大学先进电气装备创新中心,杭州 311107
  • 出版日期:2026-08-28 发布日期:2026-08-28
  • 作者简介:潘夏琛(1998—) ,男,硕士研究生,永磁同步电机电磁设计。 颜冬(1990—) ,女,硕士生导师,永磁电机设计与优化。
  • 基金资助:
    国家自然科学基金青年基金项目;浙江省领军型创新创业团队项目

Vibration Analysis and Suppression of Geared Motor Under Multi-Source Excitation

  1. 1. College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;2. Zhejiang University Advanced Electrical Equipment Innovation Center,Hangzhou 311107,China
  • Online:2026-08-28 Published:2026-08-28

摘要: 针对减速电机多源激励引起的振动问题,以一台 36 槽 42 极减速电机为对象,分析电磁激励与齿轮啮合激励的特性及传递路径,建立电机与齿轮多源激励下的振动分析模型。 采用遗传算法对电机与齿轮系进行优化,电机侧通过参数敏感性分析及多目标优化抑制径向电磁力和转矩波动;齿轮侧通过优化齿轮修形量与修形长度抑制啮合冲击。 结果表明,额定工况下,优化后电机转矩波动由 3. 8% 降低至 1. 2%;行星架在总激励下的振动加速度由389 mm / s2降低至 174 mm / s2。为机电耦合减速电机的低振动优化设计提供理论依据。

关键词: 减速电机, 多源激励, 多目标优化, 振动响应

Abstract: To address the vibration problem induced by multi-source excitations in a geared motor,a 36-slot / 42-pole geared motor is taken as the research object. The characteristics of electromagnetic excitation and gear meshing excitation,as well as their transmission paths within the module, are analyzed, and a vibration analysis model under motor and gear excitations is established. A genetic algorithm is employed to optimize both the motor and the gear train. On the motor side,parameter sensitivity analysis and multi-objective optimization are conducted to suppress radial electromagnetic force andtorque ripple. On the gear side,the meshing impact is reduced by optimizing the gear modification amount and modification length. The results show that,after optimization,the motor torque ripple is reduced from 3. 8% to 1. 2%,and the vibration acceleration of the planet carrier under rated operating conditions decreases from 389 mm / s2to 174 mm / s2. This study provides a theoretical basis for the low-vibration optimal design of electromechanically coupled geared motors.

Key words: geared motor, multi-source excitation, multi-objective optimization, vibration response

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