Volume 45 Issue 11
Nov.  2019
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LIU Yongzhi, LI Jie, SHAN Chenglonget al. Direct instantaneous torque control of switched reluctance motor based on optimal angle adaptive TSF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2152-2159. doi: 10.13700/j.bh.1001-5965.2019.0101(in Chinese)
Citation: LIU Yongzhi, LI Jie, SHAN Chenglonget al. Direct instantaneous torque control of switched reluctance motor based on optimal angle adaptive TSF[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2152-2159. doi: 10.13700/j.bh.1001-5965.2019.0101(in Chinese)

Direct instantaneous torque control of switched reluctance motor based on optimal angle adaptive TSF

doi: 10.13700/j.bh.1001-5965.2019.0101
Funds:

National Natural Science Foundation of China 61603411

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  • Corresponding author: LIU Yongzhi.E-mail: 13669270428@163.com
  • Received Date: 13 Mar 2019
  • Accepted Date: 05 Jul 2019
  • Publish Date: 20 Nov 2019
  • Aimed at the problem that the switched reluctance motor (SRM) has large torque ripple and low operating efficiency in the commutation area, this paper proposes an SRM direct instantaneous torque control (DITC) method based on the optimal-angle-based adaptive torque sharing function (TSF). Firstrly, the representative speed of the motor is selected in the full speed range, and the optimal switch angle corresponding to the maximum average torque at the corresponding speed is obtained. Then, the improved BP neural network is trained with discrete optimal switch angle data to obtain the optimal switch angle in the full speed range. Therefore, the TSF can dynamically adjust the shape of the TSF according to different rotation speeds, obtain the adaptive ability, and achieve the purpose of suppressing the torque ripple of the commutation area. In order to verify the effectiveness of the proposed method, a three-phase 6/4-pole SRM based simulation model and experimental platform are built. The results show that the proposed method effectively suppresses the torque ripple in the commutation area and improves the system operation efficiency.

     

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  • [1]
    杨晴晴, 张兴, 马铭遥, 等.提高开关磁阻电机数字电流控制性能的方法[J].中国电机工程学报, 2018, 38(14):4252-4261.

    YANG Q Q, ZHANG X, MA M Y, et al.Improving digital current control performance of switched reluctance motor drive[J].Proceedings of the CSEE, 2018, 38(14):4252-4261(in Chinese).
    [2]
    LABIOD C, SRAIRI K, MAHDAD B, et al.A novel control technique for torque ripple minimization in switched reluctance motor through destructive interference[J].Electrical Engineering, 2017, 100(9):1-10.
    [3]
    MARCSA D, KUCZMANN M.Design and control for torque ripple reduction of a 3-phase switched reluctance motor[J].Computers & Mathematics with Applications, 2017, 74(1):89-95.
    [4]
    朱叶盛, 章国宝, 黄永明.基于PWM的开关磁阻电机直接瞬时转矩控制[J].电工技术学报, 2017, 32(7):31-39.

    ZHU Y S, ZHANG G B, HUANG Y M.PWM-based direct instantaneous torque control of switched reluctance machine[J].Transactions of China Electrotechnical Society, 2017, 32(7):31-39(in Chinese).
    [5]
    刘勇智, 鄯成龙, 林博闻, 等.基于自适应二阶终端滑模的SRM直接转矩控制[J].北京亚洲成人在线一二三四五六区学报, 2018, 44(10):2043-2051. http://bhxb.cqjj8.com/CN/abstract/abstract14604.shtml

    LIU Y Z, SHAN C L, LIN B W, et al.Direct torque control of switched motor based on adaptive second-order terminal sliding mode[J].Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(10):2043-2051(in Chinese). http://bhxb.cqjj8.com/CN/abstract/abstract14604.shtml
    [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 X L, XU Z L.Speed regulation control of switched reluctance motors based on PI parameter self-adaptation[J].Proceedings of the CSEE, 2015, 35(16):4215-4223(in Chinese).
    [7]
    花为, 华浩, 赵桂书, 等.一种用于电动自行车的高性能开关磁阻电机系统[J].南京亚洲成人在线一二三四五六区学报, 2014, 46(1):37-43. doi: 10.3969/j.issn.1005-2615.2014.01.005

    HUA W, HUA H, ZHAO G S, et al.High-performance switched reluctance machine for electric bicycle[J].Journal of Nanjing University of Aeronautics and Astronautics, 2014, 46(1):37-43(in Chinese). doi: 10.3969/j.issn.1005-2615.2014.01.005
    [8]
    王旭东, 王喜莲, 王炎, 等.开关磁阻电动机电流双幅值斩波控制[J].中国电机工程学报, 2000, 20(4):83-86. doi: 10.3321/j.issn:0258-8013.2000.04.018

    WANG X D, WANG X L, WANG Y, et al.Double amplitude chopping control of switched reluctance motor[J].Proceedings of the CSEE, 2000, 20(4):83-86(in Chinese). doi: 10.3321/j.issn:0258-8013.2000.04.018
    [9]
    HAN S, LIU C, LEI Z, et al.Mutual coupling and its effect on current and torque of six phases switched reluctance motor[C]// Eleventh International Conference on Ecological Vehicles & Renewable Energies.Piscataway, NJ: IEEE Press, 2016: 16005657.
    [10]
    YAO S, WEI Z.A simple strategy for parameters identification of SRM direct instantaneous torque control[J].IEEE Transactions on Power Electronics, 2018, 33(4):3622-3630. doi: 10.1109/TPEL.2017.2710137
    [11]
    李存贺, 王国峰, 李岩, 等.开关磁阻电机直接自适应神经网络控制[J].电机与控制学报, 2018, 22(1):29-36.

    LI C H, WANG G F, LI Y, et al.Direct adaptive neural network control of switched reluctance[J].Electric Machines and Control, 2018, 22(1):29-36(in Chinese).
    [12]
    张蕾, 曹鑫, 邓智泉, 等.一种单绕组无轴承开关磁阻电机绕组开路故障容错控制策略[J].电工技术学报, 2018, 33(15):3564-3571.

    ZHANG L, CAO X, DENG Z Q, et al.A fault-tolerant control strategy for open circuit in single-winding bearingless switched reluctance motor[J].Transactions of China Electrotechnical Society, 2018, 33(15):3564-3571(in Chinese).
    [13]
    秦晓飞, 刘杰, 李峰.SRM直接瞬时转矩系统抗饱和控制器设计[J].系统仿真学报, 2017, 29(12):3160-3167.

    QIN X F, LIU J, LI F.Design of anti-windup controller for SRM direct instantaneous torque system[J].Journal of System Simulation, 2017, 29(12):3160-3167(in Chinese).
    [14]
    WU J H, SUN Q G.Torque ripple minimization for switched reluctance motorsby online modification of torque sharing function[J].Electric Machines and Control, 2017, 21(12):1-8.
    [15]
    REN T, SHI L, YAN G, et al.Temperature prediction of the molten salt collector tube using BP neural network[J].IET Renewable Power Generation, 2016, 10(2):212-220. doi: 10.1049/iet-rpg.2015.0065
    [16]
    JIANG L, ZHANG J, XUAN P, et al.BP neural network could help improve pre-miRNA identification in various species[J].Biomed Research International, 2016, 2016:1-11.
    [17]
    丁文, 梁得亮, 鱼振民, 等.基于磁链与转矩特性的开关磁阻电机建模研究[J].西安交通大学学报, 2007, 41(2):214-218. doi: 10.3321/j.issn:0253-987X.2007.02.019

    DING W, LIANG D L, YU Z M, et al.Modeling for switched reluctance motor based on flux linkage and torque characteristics[J].Journal of Xi'an Jiaotong University, 2007, 41(2):214-218(in Chinese). doi: 10.3321/j.issn:0253-987X.2007.02.019
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