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轴线偏斜对齿轮机电耦合系统电流特征影响

Effect of axis deflection on current characteristics of gear electromechanical coupling system
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摘要 针对齿轮轴线偏斜改变啮合状态引发不对中问题,提出了一种基于电机定子电流信号的齿轮啮合不对中诊断方法。将电机动态数学模型的电磁转矩作为中间变量,结合齿轮系统弯-扭-轴动力学模型,建立牵引电机-齿轮传动系统机电耦合动力学模型。探究不同轴线误差对机电耦合动力学模型定子电流信号的影响规律,通过频谱分析得到不同情况下的定子电流频谱,阐明齿轮轴线误差对应的电流频谱特征。研究结果表明:轴线误差下电机定子电流频谱显现电源基频与齿轮副啮合频率相关边频带。啮合平面角度误差对电流频谱频率的影响较中心距误差和垂直啮合平面角度误差更明显,为齿轮非入侵式啮合状态监测提供了参考。 Aiming at the problem of misalignment caused by the gear axis deflection changing the meshing state,a gear meshing misalignment diagnosis method based on the motor stator current signal is proposed.Using the electromagnetic torque of the motor dynamic mathematical model as an intermediate variable,combined with the bending-torsional-axis dynamics model of the gear system,an electromechanical coupling dynamics model of the traction motor-gear transmission system was established.The influence of different axis errors on the stator current signal of the electromechanical coupling dynamics model was explored.The stator current spectrum under different conditions was obtained through spectrum analysis,and the current spectrum characteristics corresponding to the gear axis error were clarified.The research results show that the motor stator current spectrum under axis error shows sidebands related to the power supply fundamental frequency and the gear pair meshing frequency;the impact of the meshing plane angle error on the current spectrum frequency is more obvious than the center distance error and the vertical meshing plane angle error,which is the reason for the non-standard gear intrusive engagement status monitoring provides a reference.
作者 何泽银 何亮 杨金 彭栋 HE Zeyin;HE Liang;YANG Jin;PENG Dong(School of Mechanical and Electrical Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
出处 《中国工程机械学报》 北大核心 2025年第3期377-382,共6页 Chinese Journal of Construction Machinery
基金 国家自然科学基金资助项目(52005066) 重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0562)。
关键词 轴线误差 齿轮动力学 机电耦合模型 电流特性分析 axis error gear dynamics electromechanical coupling model current characteristics analysis
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