Abstract:Permanent magnet linear motors (PMLMs) are widely applied in precision machining and high-accuracy positioning systems due to their high stiffness, fast dynamic response, and direct-drive characteristics. However, vibrations induced by normal electromagnetic force waves can significantly degrade machining accuracy and operational stability. Conventional vibration analysis relies heavily on finite element methods (FEM), which, although accurate, are computationally intensive and inefficient for iterative design optimization. This study develops a fast and accurate analytical vibration model for PMLMs based on the Euler-Bernoulli beam theory to elucidate the quantitative relationships among electromagnetic forces, structural parameters, and vibration responses. The equivalent elastically supported beam model is established, incorporating the effects of support stiffness and normal electromagnetic forces. The normal electromagnetic forces are obtained using the Maxwell stress tensor method, which accounts for longitudinal end effects. As a result, the model improves the accuracy of excitation prediction. The natural frequencies of the mover are analytically derived for both pitching and bending modes. The analytical results are validated by FEM simulations and modal tapping experiments. For the first two modes, the analytical predictions deviate from experimental results by less than 10%. Based on the forced-vibration equation of the equivalent beam, a vibration transfer function is derived, and the vibration responses are obtained using the modal superposition method. The resulting displacement spectra show that the largest response appears at twice the supply frequency, with additional peaks occurring at higher even multiples and near the natural frequencies. The influence of structural parameters on vibration response is analyzed. (1) Reducing slider spacing decreases the second bending mode response. (2) Increasing the mover yoke thickness reduces both pitching and bending responses. (3) Increasing slider support stiffness effectively suppresses pitching vibration. A dedicated vibration test platform is constructed. The experimental displacement spectra agree with analytical results in both dominant frequency components and relative response trends, with amplitude errors within 50% for the 2 times frequency component. The feasibility of the proposed model for early-stage vibration prediction and structural optimization is verified. In summary, this paper proposes an analytical model for PMLM vibration analysis that quantitatively links structural parameters to vibration responses, enabling targeted design strategies for low-vibration PMLMs. The method offers a practical theoretical tool for rapid vibration evaluation and suppression during the initial design phase.
富仁杰, 董婷, 张博, 冯威, 赵桂林. 基于欧拉梁理论的永磁直线电机振动解析计算与分析[J]. 电工技术学报, 2026, 41(14): 4706-4717.
Fu Renjie, Dong Ting, Zhang Bo, Feng Wei, Zhao Guilin. Vibration Analytical Calculation and Analysis of Permanent Magnet Linear Motor Based on Euler Beam Theory. Transactions of China Electrotechnical Society, 2026, 41(14): 4706-4717.
[1] 宋琳, 聂子玲, 孙军, 等. 基于参数辨识的永磁同步直线电机循环神经网络多维观测器[J]. 电工技术报, 2024, 39(22): 7059-7072. Song Lin, Nie Ziling, Sun Jun, et al.Multidimensional observer of permanent magnet synchronous linear motor recurrent neural network based on parameter identification[J]. Transactions of China Electrotech-nical Society, 2024, 39(22): 7059-7072. [2] 鲁军勇, 柳应全. 电磁发射用直线电机及其控制技术综述[J]. 电工技术学报, 2024, 39(19): 5899-5913. Lu Junyong, Liu Yingquan.Review on linear motor for electromagnetic launch and its control tech-nology[J]. Transactions of China Electrotechnical Society, 2024, 39(19): 5899-5913. [3] 宋承林, 吴志鹏, 黎明, 等. 永磁同步电机电磁振动和噪声研究综述[J]. 电工技术学报, 2026, 41(6): 1887-1906. Song Chenglin, Wu Zhipeng, Li Ming, et al.Review of research on electromagnetic vibration and noise of permanent magnet synchronous motor[J]. Transac-tions of China Electrotechnical Society, 2026, 41(6): 1887-1906. [4] Chi Song, Yan Jianhu, Guo Jian, et al.Analysis of mechanical stress and vibration reduction of high-speed linear motors for electromagnetic launch system[J]. IEEE Transactions on Industry Appli-cations, 2022, 58(6): 7226-7240. [5] Liu Xiaomei, Wang Haoran, Zhao Zhouyang, et al.Analysis of vibration reduction of single-side permanent magnet synchronous linear motor by using hybrid-type PMs[J]. IEEE Transactions on Trans-portation Electrification, 2025, 11(1): 2877-2885. [6] 陈少先, 丁树业, 申淑锋, 等. 船舶用表贴式永磁同步电机的电磁振动分析与抑制[J]. 电工技术学报, 2023, 38(5): 1275-1286, 1298. Chen Shaoxian, Ding Shuye, Shen Shufeng, et al.Analysis and suppression of electromagnetic vibration of surface mounted permanent magnet synchronous motor for ships[J]. Transactions of China Electro-technical Society, 2023, 38(5): 1275-1286, 1298. [7] Yu Yinquan, Bi Chao, Jiang Quan, et al.Prediction of vibration in PM synchronous motor based on calculation of stator natural frequency[J]. Micro-system Technologies, 2015, 21(12): 2803-2810. [8] 李泽星, 夏加宽, 刘铁法, 等. 基于极间虚齿的表贴式永磁电机六倍频振动噪声的削弱[J]. 电工技术学报, 2023, 38(5): 1287-1298. Li Zexing, Xia Jiakuan, Liu Tiefa, et al.Reduction of six times frequency vibration and noise of surface-mounted permanent magnet synchronous machines with interpolar virtual teeth[J]. Transactions of China Electrotechnical Society, 2023, 38(5): 1287-1298. [9] 林福, 左曙光, 毛钰, 等. 考虑电流谐波的永磁同步电机电磁振动和噪声半解析模型[J]. 电工技术学报, 2017, 32(9): 24-31. Lin Fu, Zuo Shuguang, Mao Yu, et al.Semi-analytical model of vibration and noise for permanent magnet synchronous motor considering current harmonics[J]. Transactions of China Electrotechnical Society, 2017, 32(9): 24-31. [10] 邢泽智, 王秀和, 赵文良, 等. 表贴式永磁同步电机电磁激振力波计算与定子振动特性分析[J]. 中国电机工程学报, 2021, 41(14): 5004-5013. Xing Zezhi, Wang Xiuhe, Zhao Wenliang, et al.Calculation of electromagnetic force waves and analysis of stator vibration characteristics of surface mount permanent magnet synchronous motor[J]. Proceedings of the CSEE, 2021, 41(14): 5004-5013. [11] 廖琳, 向阳, 周勇, 等. 大容量推进电机电枢定子建模方法及固有振动特性分析[J]. 电机与控制学报, 2023, 27(11): 173-182. Liao Lin, Xiang Yang, Zhou Yong, et al.Modeling method and natural vibration features analysis of armature stator of large capacity propulsion motor[J]. Electric Machines and Control, 2023, 27(11): 173-182. [12] 高建宁, 徐炜, 王激尧, 等. 考虑振动噪声抑制的Halbach内置式永磁同步电机拓扑协同优化设计[J]. 电工技术学报, 2024, 39(增刊1): 37-50. Gao Jianning, Xu Wei, Wang Jiyao, et al.Topology cooperative optimization design of Halbach interior permanent magnet synchronous motor considering vibration and noise suppression[J]. Transactions of China Electrotechnical Society, 2024, 39(S1): 37-50. [13] 李晓华, 黄苏融, 张琪. 电动汽车用永磁同步电机定子结构固有频率分析[J]. 中国电机工程学报, 2017, 37(8): 2383-2391. Li Xiaohua, Huang Surong, Zhang Qi.Analysis of natural frequencies of stator structure of permanent magnet synchronous motors for electric vehicles[J]. Proceedings of the CSEE, 2017, 37(8): 2383-2391. [14] 于慎波, 王辉. 电机定子圆柱壳体周向模态频率计算[J]. 电机与控制学报, 2014, 18(6): 102-107. Yu Shenbo, Wang Hui.Investigation of circumfer-ential mode frequencies of circular cylindrical shells of stator in electric motor[J]. Electric Machines and Control, 2014, 18(6): 102-107. [15] 屈仁浩, 蒋伟康. 电机定子铁芯振动特性分析的一种解析方法[J]. 振动与冲击, 2021, 40(3): 81-86, 94. Qu Renhao, Jiang Weikang.An analytical method for vibration characteristics analysis of motor stator core[J]. Journal of Vibration and Shock, 2021, 40(3): 81-86, 94. [16] Hong Jianfeng, Wang Shanming, Sun Yuguang, et al.A high-precision analytical method for vibration calcu-lation of slotted motor based on tooth modeling[J]. IEEE Transactions on Industry Applications, 2021, 57(4): 3678-3686. [17] Fang Haiyang, Li Dawei, Qu Ronghai, et al.Modu-lation effect of slotted structure on vibration response in electrical machines[J]. IEEE Transactions on Industrial Electronics, 2019, 66(4): 2998-3007. [18] 田一申. 基于负刚度装置的梁板结构隔振研究[D]. 哈尔滨: 哈尔滨工业大学, 2023. Tian Yishen.Vibration isolation performance of beam and panel structures with negative stiffness device[D]. Harbin: Harbin Institute of Technology, 2023. [19] 鲍文博, 白泉, 陆海燕. 振动力学基础与MATLAB应用[M]. 北京: 清华大学出版社, 2015. [20] 赵佳楠. 多通道加速度传感器在振动位移测量中的研究[D]. 太原: 中北大学, 2017. Zhao Jianan.Research on vibration displacement measurement with multi-channel acceleration sensor[D]. Taiyuan: North University of China, 2017.