Abstract：With its simple and robust structure and wide speed regulation range, switched reluctance machine (SRM) has a wide range of application scenarios in the fields of multi-all-electric airplanes, electric vehicles, and new energy power generation. However, due to its double-convex pole structure and pulse-powered operation mode, SRM has the shortcomings of large torque ripple and strong vibration during operation, which seriously affects its practical application in the industrial field. In view of the above problems, this paper firstly explores the generation mechanism of vibration noise of SRM, and identifies torque ripple and radial force ripple as the two major causes of motor vibration noise. Based on the idea of model predictive control (MPC), a multi-objective control method of SRM torque ripple and radial force ripple based on the MPC method is proposed along with the control logic of torque predictive control. Based on the magnetic chain waveform planning, the radial force and torque share function (TSF) is constructed, and the torque and radial force waveforms of each phase are planned to realize the simultaneous control of the torque and radial force; considering the changing characteristics of the radial force, the voltage vector table of single-phase conduction area under the MPC is optimized, so that the radial force ripple caused by demagnetization correlation breaks can be reduced; the predicted torque and radial force are taken as the parameters to the cost function, so that the on-line optimization of the switching status of the minimum torque ripple and radial force ripple can be performed. In MPC, the accuracy of the motor electromagnetic characteristic model seriously affects the stability of the control algorithm, in order to improve the stability of the model predictive torque and radial force control (MPTFC) algorithm, and reduce the vibration of the motor, propose a current error compensation method based on the prediction of reluctance. Combined with the operating characteristics of the SRM variable reluctance, from the nonlinear inductance characteristics, according to the parameters of each phase current and voltage, to obtain the relationship between the predicted reluctance and the actual reluctance; combined with the motor state equations, the inverse deduction to obtain a more accurate value of current prediction, to improve the control performance of the MPC algorithm. Finally, a semi-physical experimental verification platform based on a 600 W three-phase 12/8-pole SRM is constructed to experimentally validate the proposed error compensation-based vibration suppression control strategy. Comparisons are made with current chopper control (CCC), PWM control, MPC, model predictive torque control (MPTC), and MPTFC methods at 500 r/min, 1 000 r/min, and 1 500 r/min with a load of 1 N·m and 2 N·m. The experimental results show that, compared with the traditional CCC, PWM and MPTC, the MPTFC strategy has significant suppression effects on torque ripple and radial force ripple, and the vibration acceleration spectrum shows that this method effectively reduces the vibration of the whole machine; the model predictive torque and force control based on current error compensation (CEC-MPTFC) further strengthens the suppression effect, and reduces the torque ripple and radial force ripple by 10.10% and 23.47%, which provides a reference to improve the reliability of the SRM.
葛乐飞, 宋佳赫, 黄佳乐, 樊子祯, 宋受俊. 基于电流误差补偿的开关磁阻电机振动抑制策略[J]. 电工技术学报, 2025, 40(17): 5434-5447.
Ge Lefei, Song Jiahe, Huang Jiale, Fan Zizhen, Song Shoujun. Vibration Suppression Strategy for Switched Reluctance Machine Based on Current Error Compensation. Transactions of China Electrotechnical Society, 2025, 40(17): 5434-5447.
[1] 方成辉, 陈昊, Galina Demidova, 等. 开关磁阻电机无电流传感器控制方法[J]. 电工技术学报, 2023, 38(2): 365-374. Fang Chenghui, Chen Hao, Demidova G, et al.Current sensorless control method of switched reluctance motors[J]. Transactions of China Elec-trotechnical Society, 2023, 38(2): 365-374. [2] 杨帆, 陈昊, 李晓东, 等. 一种优化开关磁阻电机换相区控制策略的高效率转矩分配函数[J]. 电工技术学报, 2024, 39(6): 1671-1683. Yang Fan, Chen Hao, Li Xiaodong, et al.An efficient torque sharing function for optimizing the com-mutation zone control strategy of switched reluctance motors[J]. Transactions of China Electrotechnical Society, 2024, 39(6): 1671-1683. [3] 吴长龙, 徐衍亮, 付东山, 等. 电动工具用高速两相开关磁阻电机研究[J]. 微电机, 2015, 48(11): 5-8, 25. Wu Changlong, Xu Yanliang, Fu Dongshan, et al.Research of high-speed two-phase switched relu-ctance motor in electric tool[J]. Micromotors, 2015, 48(11): 5-8, 25. [4] 李宗霖, 陈昊, 戚湧, 等. 基于自抗扰滑模控制的开关磁阻电机转矩分配控制策略[J]. 电工技术学报, 2024, 39(18): 5639-5656. Li Zonglin, Chen Hao, Qi Yong, et al.Torque sharing function control strategy for switched reluctance motor based on active disturbance rejection sliding mode control[J]. Transactions of China Electro-technical Society, 2024, 39(18): 5639-5656. [5] Gundogmus O, Das S, Yasa Y, et al.Acoustic noise mitigation in high pole count switched reluctance machines utilizing skewing method on stator and rotor poles[J]. IEEE Transactions on Industrial Electronics, 2022, 69(6): 5581-5593. [6] 闫文举, 陈昊, 马小平, 等. 不同转子极数下磁场解耦型双定子开关磁阻电机的研究[J]. 电工技术学报, 2021, 36(14): 2945-2956. Yan Wenju, Chen Hao, Ma Xiaoping, et al.Development and investigation on magnetic field decoupling double stator switched reluctance machine with different rotor pole numbers[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 2945-2956. [7] Song Shoujun, Xia Zekun, Zhang Zhihui, et al.Control performance analysis and improvement of a modular power converter for three-phase SRM with Y-connected windings and neutral line[J]. IEEE Transactions on Industrial Electronics, 2016, 63(10): 6020-6030. [8] Hua Wei, Hua Hao, Dai Ningyi, et al.Comparative study of switched reluctance machines with half-and full-teeth-wound windings[J]. IEEE Transactions on Industrial Electronics, 2016, 63(3): 1414-1424. [9] 薛秀慧, 陈强, 庞瀚文, 等. 开关磁阻电机的精确延时两步换相控制[J]. 电力电子技术, 2019, 53(10): 75-78. Xue Xiuhui, Chen Qiang, Pang Hanwen, et al.Two-stage commutation method with precise time delay for switched reluctance motor control[J]. Power Electronics, 2019, 53(10): 75-78. [10] Kurihara N, Chiba A, Yamada K, et al.A relationship of radial force sum and current waveforms in switched reluctance motor for noise reduction[C]// 2015 IEEE Energy Conversion Congress and Exposition (ECCE), Montreal, QC, Canada, 2015: 5560-5566. [11] 任浩天, 甘醇, 曲荣海, 等. 基于电流转矩协同控制的开关磁阻电机新型直接瞬时转矩控制策略[J]. 中国电机工程学报, 2024, 44(19): 7794-7806. Ren Haotian, Gan Chun, Qu Ronghai, et al.Current-torque coordinated control based direct instantaneous torque control strategy for switched reluctance motor[J]. Proceedings of the CSEE, 2024, 44(19): 7794-7806. [12] Hofmann A, De Doncker R W. Hysteresis-based DIFC in SRM: eliminating switching harmonics while improving inverter efficiency[C]//7th IET Inter-national Conference on Power Electronics, Machines and Drives (PEMD 2014), Manchester, UK, 2014: 1-6. [13] 贲彤, 聂恒, 陈龙, 等. 一种正弦补偿型转矩分配函数的SRM转矩脉动抑制策略[J]. 电机与控制学报, 2022, 26(8): 100-111. Ben Tong, Nie Heng, Chen Long, et al.SRM torque ripple suppression strategy based on sinusoidal compensation torque sharing function[J]. Electric Machines and Control, 2022, 26(8): 100-111. [14] Ye Jin, Bilgin B, Emadi A.An extended-speed low-ripple torque control of switched reluctance motor drives[J]. IEEE Transactions on Power Elec-tronics, 2015, 30(3): 1457-1470. [15] 胡艳芳, 康智勇, 孙德博, 等. 基于区间分段转矩分配函数的开关磁阻电机转矩脉动抑制[J]. 电机与控制学报, 2023, 27(10): 54-62. Hu Yanfang, Kang Zhiyong, Sun Debo, et al.Torque ripple suppression of switched reluctance motor based on interval segmentation torque sharing function[J]. Electric Machines and Control, 2023, 27(10): 54-62. [16] Yan Ning, Cao Xin, Deng Zhiquan.Direct torque control for switched reluctance motor to obtain high torque-ampere ratio[J]. IEEE Transactions on Indu-strial Electronics, 2019, 66(7): 5144-5152. [17] 韩国强, 陆哲, 吴孟霖, 等. 基于改进滑模控制策略的开关磁阻电机直接瞬时转矩控制方法[J]. 电工技术学报, 2022, 37(22): 5740-5755. Han Guoqiang, Lu Zhe, Wu Menglin, et al.Direct instantaneous torque control method for switched reluctance motor based on an improved sliding mode control strategy[J]. Transactions of China Elec-trotechnical Society, 2022, 37(22): 5740-5755. [18] Ge Lefei, Fan Zizhen, Du Nan, et al.Model predictive torque and force control for switched reluctance machines based on online optimal sharing function[J]. IEEE Transactions on Power Electronics, 2023, 38(10): 12359-12364. [19] Ge Lefei, Yuan Ruilin, Cheng Qiyuan, et al.Model predictive torque and force control of an switched reluctance machine[C]//2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Jinan, China, 2021: 280-284. [20] 屈资喻, 黄朝志, 陈军, 等. 减小开关磁阻电机转矩脉动的九区间DITC控制策略[J]. 河南理工大学学报(自然科学版), 2022, 41(4): 117-125. Qu Ziyu, Huang Chaozhi, Chen Jun, et al.Direct instantaneous torque control strategy at 9 regions for reducing torque ripple of switched reluctance motor[J]. Journal of Henan Polytechnic University (Natural Science), 2022, 41(4): 117-125. [21] 费晨, 颜建虎, 汪盼, 等. 基于改进的转矩分配函数法的开关磁阻电机转矩脉动抑制[J]. 电工技术学报, 2018, 33(增刊2): 394-400. Fei Chen, Yan Jianhu, Wang Pan, et al.Torque ripple suppression of switched reluctance motor based on modified torque sharing function[J]. Transactions of China Electrotechnical Society, 2018, 33(S2): 394-400. [22] 刘忠永, 范涛, 何国林, 等. 高性能永磁同步电机显式模型预测控制算法研究[J]. 电工技术学报, 2023, 38(22): 6039-6058. Liu Zhongyong, Fan Tao, He Guolin, et al.Research on high-performance explicit model predictive control algorithm for permanent magnet synchronous motors[J]. Transactions of China Electrotechnical Society, 2023, 38(22): 6039-6058. [23] 梅杨, 吕宁, 魏铮. 间接矩阵变换器-双异步电机调速系统的模型预测控制权重因数整定[J]. 电工技术学报, 2024, 39(23): 7554-7565. Mei Yang, Lü Ning, Wei Zheng.Model predictive control weight factor tuning method for indirect matrix converter-double induction motors speed control system[J]. Transactions of China Elec-trotechnical Society, 2024, 39(23): 7554-7565. [24] 向超群, 杜京润, Zhang Xinan, 等. 电容电压平衡的四电平有源中性点钳位逆变器的改进模型预测电流控制[J]. 电工技术学报, 2024, 39(18): 5826-5838. Xiang Chaoqun, Du Jingrun, Zhang Xinan, et al.An improved model predictive control of four-level active neutral point clamped inverter with balanced capacitor voltage[J]. Transactions of China Elec-trotechnical Society, 2024, 39(18): 5826-5838. [25] 周汉斌, 杨建, 黄连生, 等. 基于有限状态机的三电平逆变器双矢量模型预测控制策略[J]. 电力系统自动化, 2023, 47(11): 155-164. Zhou Hanbin, Yang Jian, Huang Liansheng, et al.Double-vector model predictive control strategy of three-level inverter based on finite state machine[J]. Automation of Electric Power Systems, 2023, 47(11): 155-164.
2025, Vol. 40 
