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为研究机电复合传动系统在机电耦合效应下的动态响应，基于动力学理论并考虑非线性因素，建立了机电复合传动系统耦合机构动力学模型；基于电机动态数学建模及控制建模理论，建立了永磁同步电机模型，并考虑机电耦合效应建立机电耦合模型.通过两种转向工况的试验与仿真对比，验证了所建立模型的正确性.在机电耦合模型的基础上，基于能量法计算齿轮断齿故障下啮合刚度，进一步得到故障激励力，并植入到机电耦合模型中，基于仿真结果分析了断齿故障下的动态响应特征.结果表明：当故障发生时，电机电流信号会受到故障频率的调制影响，频谱中出现大量故障调制频率成分.因此，考虑机电耦合效应下的机电复合传动故障模型能够为故障诊断提供新的方案.
Abstract：To investigate the dynamic response of electromechanical transmission systems under electromechanical coupling effects, a dynamic model of the coupling mechanism in the electromechanical transmission system was established based on dynamic theory and considering nonlinear factors. A permanent magnet synchronous motor model was developed using dynamic mathematical modeling and control theory of motors, and an electromechanical coupling model was constructed by incorporating electromechanical coupling effects. The validity of the proposed model was verified through comparative experiments and simulations under two steering conditions. Based on the electromechanical coupling model, the meshing stiffness under gear tooth breakage fault was calculated using the energy method, and the corresponding fault excitation force was derived and integrated into the electromechanical coupling model. The dynamic response characteristics under tooth breakage fault were analyzed based on simulation results. The results show that when a fault occurs, the motor current signal is modulated by the fault frequency, resulting in numerous fault modulation frequency components in the spectrum. Therefore, the fault model of electromechanical transmission considering electromechanical coupling effects can provide a new solution for fault diagnosis.
[1] 刘佳伟.电机-齿轮系统机电耦合振动特性及抑制研究[D].昆明：昆明理工大学，2023.
[2] YANG X,LIU H,LU D,et al.Investigation of the dynamic electromechanical coupling due to the thrust harmonics in the linear motor feed system[J].Mechanical Systems and Signal Processing,2018,111:492-508.
[3] EL YOUSFI B,SOUALHI A,MEDJAHER K,et al.Electromechanical modeling of a motor-gearbox system for local gear tooth faults detection[J].Mechanical Systems and Signal Processing,2022,166:108435.
[4] YUAN Y,WANG J,YANG M.Nonlinear dynamics simulation of the helical gear transmission system for high-speed train[J].Journal of Vibration and Control,2025,31(5-6):981-993.
[5] WANG Y,LIU C,LIAO Y.Electromechanical dynamic simulation and experiment for multi-stage gear transmission system with planetary gears[J].Cluster Computing,2019,22(2):3031-3041.
[6] SHU R Z,WEI J,TAN R L,et al.Investigation of dynamic and synchronization properties of a multi-motor driving system:Theoretical analysis and experiment[J].Mechanical Systems and Signal Processing,2021,153:107496.
[7] GUO F,LI C,SU J,et al.Analysis of dynamic characteristics and load sharing performance of electric driven planetary gear system based on electromechanical coupling model[J].SAE Technical Paper,2023:2023-01-7011.
[8] CHEN R B,QIN D T,LIU C Z.Dynamic modelling and dynamic characteristics of wind turbine transmission gearbox-generator system electromechanical-rigid-flexible coupling[J].Alexandria Engineering Journal,2023,65:307-325.
[9] GE S,QIU L,ZHANG Z,et al.Electromechanical coupling dynamic characteristics of electric drive system for electric vehicle[J].Nonlinear Dynamics,2024,112(8):6101-6136.
[10] GONG H,WANG F,ZHU X.Gear fault diagnosis for vehicle electric drive systems based on stator currents[J].SAE Technical Paper,2023:2023-01-7030.
[11] OTUYEMI F,SUN X,GU F,et al.Numerical study of motor electrical signature for condition monitoring of gear tooth breakage in a Motor-Gear System[R].[s.L.]:Springer International Publishing,2023:341-358.
[12] GUO J,HE Q,ZHEN D,et al.Multivariate frequency transfer bispectrum estimator for gearbox drive system fault diagnosis using motor current signature analysis[J].IEEE Transactions on Energy Conversion,2024,39(3):2106-2114.
[13] AZAMFAR M,SINGH J,BRAVO-IMAZ I,et al.Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis[J].Mechanical Systems and Signal Processing,2020,144:106861.
[14] DONG X,NIU G,WANG H,et al.Convenient gearbox fault diagnosis under random variable speeds:A motor current nonlinear harmonic approach[J].Mechanical Systems and Signal Processing,2025,225:112290.
[15] CHEN X,FENG Z.Tacholess speed estimation for rotating machinery fault diagnosis of induction motor drivetrain[J].IEEE Transactions on Power Electronics,2024,39(4):4704-4713.
基本信息:
DOI：10.16599/j.cnki.1009-4687.20250901.001
中图分类号:TH132
引用信息:
[1]郭童,曹宏瑞,魏江.机电复合传动机电耦合建模与断齿故障研究[J].车辆与动力技术,2025,No.180(04):13-23.DOI:10.16599/j.cnki.1009-4687.20250901.001.
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2025-09-02