Abstract The direct instantaneous torque control strategy of switched reluctance motor based on the traditional sliding mode control method has the problems of large chattering and long dynamic time. Also, the load torque must be observed in real time when the mechanical equation obtains reference torque. In order to solve the above problems, a direct instantaneous torque control strategy based on an improved sliding mode control method is proposed. Based on the traditional sliding mode surface and sliding mode approach rate, the state variable is introduced to reduce the torque fluctuation and dynamic process adjustment time of the motor under different working conditions. In order to effectively avoid the real-time calculation of the load torque, the system change caused by load disturbance is mapped to the evolution of the sliding mode surface. The adaptive law of the observed load disturbance is introduced into the sliding mode controller, and the system chattering is suppressed when the load torque and motor speed change. In addition, the dynamic response of the system is improved. The stability of the improved sliding mode controller is proved by the Lyapunov function. Simulations and experiments are carried out, and the results show that the method has good performance under steady-state, variable speed, and load conditions.
Han Guoqiang,Lu Zhe,Wu Menglin等. Direct Instantaneous Torque Control Method for Switched Reluctance Motor Based on an Improved Sliding Mode Control Strategy[J]. Transactions of China Electrotechnical Society, 2022, 37(22): 5740-5755.
[1] Sun Xiaodong, Feng Liyun, Diao Kaikai, et al.An improved direct instantaneous torque control based on adaptive terminal sliding mode for a segmented-rotor SRM[J]. IEEE Transactions on Industrial Electronics, 2021, 68(11): 10569-10579. [2] Sun Wei, Li Qiang, Sun Le, et al.Study on magnetic shielding for performance improvement of axial-field dual-rotor segmented switched reluctance machine[J]. CES Transactions on Electrical Machines and Systems, 2021, 5(1): 50-61. [3] 丁文, 李可, 付海刚. 一种12/10极模块化定子混合励磁开关磁阻电机分析[J]. 电工技术学报, 2022, 37(8): 1948-1958. Ding Wen, Li Ke, Fu Haigang.Analysis of a 12/10- pole modular-stator hybrid-excited switched relu- ctance machine[J]. Transactions of China Elec- trotechnical Society, 2022, 37(8): 1948-1958. [4] Pupadubsin R, Chayopitak N, Taylor D G, et al.A daptive integral sliding-mode position control of a coupled-phase linear variable reluctance motor for high-precision applications[J]. IEEE Transactions on Industry Applications, 2012, 48(4): 1353-1363. [5] 董顶峰, 黄文新, 卜飞飞, 等. 圆筒型反向式横向磁通直线电机定位力补偿二阶自抗扰控制器位置控制[J]. 电工技术学报, 2021, 36(11): 2365-2373. Dong Dingfeng, Huang Wenxin, Bu Feifei, et al.Second-order ADRC position control with detent force compensation for tubular reversal transverse flux linear machine[J]. Transactions of China Electrotechnical Society, 2021, 36(11): 2365-2373. [6] 王喜莲, 许振亮. 基于PI参数自适应的开关磁阻电机调速控制研究[J]. 中国电机工程学报, 2015, 35(16): 4215-4223. Wang Xilian, Xu Zhenliang.Speed regulation control of switched reluctance motors based on PI parameter self-adaptation[J]. Proceedings of the CSEE, 2015, 35(16): 4215-4223. [7] 张康, 王丽梅. 基于反馈线性化的永磁直线同步电机自适应动态滑模控制[J]. 电工技术学报, 2021, 36(19): 4016-4024. Zhang Kang, Wang Limei.Adaptive dynamic sliding mode control of permanent magnet linear syn- chronous motor based on feedback linearization[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4016-4024. [8] 肖雄, 王浩丞, 武玉娟, 等. 基于双滑模估计的主从结构共轴双电机模型预测直接转矩控制无速度传感器控制策略[J]. 电工技术学报, 2021, 36(5): 1014-1026. Xiao Xiong, Wang Haocheng, Wu Yujuan, et al.Coaxial dual motor with master-slave structure model-predictive direct torque control speed sensor- less control strategy based on double sliding mode estimation[J]. Transactions of China Electrotechnical Society, 2021, 36(5): 1014-1026. [9] Diao Kaikai, Sun Xiaodong, Lei Gang, et al.Multiobjective system level optimization method for switched reluctance motor drive systems using finite- element model[J]. IEEE Transactions on Industrial Electronics, 2020, 67(12): 10055-10064. [10] Wu Jiangling, Sun Xiaodong, Zhu Jianguo.Accurate torque modeling with PSO-based recursive robust LSSVR for a segmented-rotor switched reluctance motor[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(2): 96-104. [11] Ting Chensheng, Lieu J F, Liu Chunshan, et al.An adaptive FNN control design of PMLSM in stationary reference frame[J]. Journal of Control, Automation and Electrical Systems, 2016, 27(4): 391-405. [12] Lian Bosen, Zhang Qingling, Li Jinna.Integrated sliding mode control and neural networks based packet disordering prediction for nonlinear networked control systems[J]. IEEE Transactions on Neural Net- works and Learning Systems, 2019, 30(8): 2324-2335. [13] 武志涛, 李帅, 程万胜. 基于扩展滑模扰动观测器的永磁直线同步电机定结构滑模位置跟踪控制[J]. 电工技术学报, 2022, 37(10): 2503-2512. Wu Zhitao, Li Shuai, Cheng Wansheng.Fixed structure sliding mode position tracking control for permanent magnet linear synchronous motor based on extended sliding mode disturbance observer[J]. Transactions of China Electrotechnical Society, 2022, 37(10): 2503-2512. [14] 魏惠芳, 王丽梅. 永磁直线同步电机自适应模糊神经网络时变滑模控制[J]. 电工技术学报, 2022, 37(4): 861-869. Wei Huifang, Wang Limei.Adaptive fuzzy neural network time-varying sliding mode control for permanent magnet linear synchronous motor[J]. Transactions of China Electrotechnical Society, 2022, 37(4): 861-869. [15] 王天鹤, 赵希梅, 金鸿雁. 基于递归径向基神经网络的永磁直线同步电机智能二阶滑模控制[J]. 电工技术学报, 2021, 36(6): 1229-1237. Wang Tianhe, Zhao Ximei, Jin Hongyan.Intelligent second-order sliding mode control based on recurrent radial basis function neural network for permanent magnet linear synchronous motor[J]. Transactions of China Electrotechnical Society, 2021, 36(6): 1229-1237. [16] 汪海波, 周波, 方斯琛. 永磁同步电机调速系统的滑模控制[J]. 电工技术学报, 2009, 24(9): 71-77. Wang Haibo, Zhou Bo, Fang Sichen.A PMSM sliding mode control system based on exponential reaching law[J]. Transactions of China Electrotechnical Society, 2009, 24(9): 71-77. [17] 夏长亮, 李莉, 谷鑫, 等. 双永磁电机系统转速同步控制[J]. 电工技术学报, 2017, 32(23): 1-8. Xia Changliang, Li Li, Gu Xin, et al.Speed synchronization control of dual-PMSM system[J]. Transactions of China Electrotechnical Society, 2017, 32(23): 1-8. [18] Sun Xiaodong, Feng Liyun, Zhu Zhen, et al.Optimal design of terminal sliding mode controller for direct torque control of SRMs[J]. IEEE Transactions on Transportation Electrification, 2022, 8(1): 1445-1453. [19] de Paula M V, Barros T A D S. A sliding mode DITC cruise control for SRM with steepest descent minimum torque ripple point tracking[J]. IEEE Transactions on Industrial Electronics, 2022, 69(1): 151-159. [20] Sun Xiaodong, Wu Jiangling, Lei Gang, et al.Torque ripple reduction of SRM drive using improved direct torque control with sliding mode controller and observer[J]. IEEE Transactions on Industrial Elec- tronics, 2021, 68(10): 9334-9345. [21] Ye Jin, Malysz P, Emadi A.A fixed-switching- frequency integral sliding mode current controller for switched reluctance motor drives[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2015, 3(2): 381-394. [22] Kurian S, Nisha G K.Current control with hysteresis controller and sliding mode controller in SRM[C]// IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, Thiruvananthapuram, India, 2022: 1-6. [23] Sun Xiaodong, Xiong Yefei, Yang Jufeng, et al.Torque ripple reduction for a 12/8 switched relu- ctance motor based on a novel sliding mode control strategy[J]. IEEE Transactions on Transportation Elec- trification, 2022, DOI: 10.1109/TTE.2022.3161078.
2022, Vol. 37 
