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基于最优角度自适应TSF的SRM直接瞬时转矩控制

刘勇智 李杰 鄯成龙

刘勇智, 李杰, 鄯成龙等 . 基于最优角度自适应TSF的SRM直接瞬时转矩控制[J]. 北京航空航天大学学报, 2019, 45(11): 2152-2159. doi: 10.13700/j.bh.1001-5965.2019.0101
引用本文: 刘勇智, 李杰, 鄯成龙等 . 基于最优角度自适应TSF的SRM直接瞬时转矩控制[J]. 北京航空航天大学学报, 2019, 45(11): 2152-2159. doi: 10.13700/j.bh.1001-5965.2019.0101
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)

基于最优角度自适应TSF的SRM直接瞬时转矩控制

doi: 10.13700/j.bh.1001-5965.2019.0101
基金项目: 

国家自然科学基金 61603411

详细信息
    作者简介:

    刘勇智  男, 博士, 教授。主要研究方向:航空电气工程

    李杰  男, 硕士研究生。主要研究方向:开关磁阻电机分数阶控制及转矩脉动抑制

    通讯作者:

    刘勇智.E-mail:13669270428@163.com

  • 中图分类号: TM352

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

Funds: 

National Natural Science Foundation of China 61603411

More Information
  • 摘要:

    针对开关磁阻电机(SRM)在换相区转矩脉动大、运行效率低的问题,提出了一种基于最优角度自适应转矩分配函数(TSF)的SRM直接瞬时转矩控制(DITC)方法。首先,在电机全速范围内选取部分代表性转速,获得相应转速下最大平均转矩对应的最优开关角;然后,用离散的最优开关角数据训练改进的BP神经网络,获得全速范围内的最优开关角,从而使TSF根据不同转速动态地调整其形状,获得自适应能力,达到抑制换相区转矩脉动的目的。为验证所提方法的有效性,以一台3相6/4极SRM搭建仿真模型和实验平台,结果表明,所提方法有效抑制了换相区的转矩脉动,并提升了系统的运行效率。

     

  • 图 1  基于最优角度TSF的SRM DITC系统框图

    Figure 1.  Block diagram of SRM DITC system based onoptimal angle TSF

    图 2  余弦型TSF曲线示意图

    Figure 2.  Schematic diagram of cosine-type TSF curve

    图 3  BP神经网络学习流程

    Figure 3.  Flowchart of BP neural network learning

    图 4  BP神经网络最优开通角和关断角训练结果

    Figure 4.  Training results of BP neural network on optimal turn-on angle and turn-off angle

    图 5  SRM的转矩特性曲线

    Figure 5.  Torque characteristic curves in SRM

    图 6  稳定运行时改进型DITC仿真图

    Figure 6.  Parameters of SRM model

    图 7  稳定运行时常规DITC仿真图

    Figure 7.  Conventional DITC simulation diagram for stable operation

    图 8  实验平台

    1—仿真器;2—DSP控制板;3—显示按键板;4—DC电源;5—驱动板;6—霍尔电流传感器;7—TDS2012C示波器;8—SRM。

    Figure 8.  Experimental platform

    图 9  两相电压波形

    Figure 9.  Two-phase voltage waveform

    图 10  单相电压和电流波形

    Figure 10.  Single-phase voltage and current waveforms

    图 11  单相驱动信号和电压电流波形

    Figure 11.  Single-phase driving signal and voltage and current waveforms

    图 12  不同控制方法的转矩波形

    Figure 12.  Torque waveform corresponding to different control methods

    表  1  不同转速下开关角寻优结果

    Table  1.   Switching angle optimization results at different rotation speeds

    转速/(r·min-1) θon/(°) θoff/(°) 转矩脉动
    100 -3.0 40 0.117
    200 -2.9 36.8 0.112
    300 -2.8 36 0.117
    400 -2.8 35 0.114
    500 -2.8 34 0.109
    600 -3.9 33 0.107
    700 -5.7 31.5 0.109
    800 -6.8 31 0.105
    900 -7.2 30.6 0.100
    1 000 -7.9 28.4 0.097
    下载: 导出CSV

    表  2  SRM模型参数

    Table  2.   Parameters of SRM model

    参数 数值
    定子/转子极 6/4
    额定功率/kW 3
    额定转速/(r·min-1) 1 000
    定子外径/mm 135
    定子内径/mm 75
    铁芯长度/mm 123.5
    转子外径/mm 74.5
    转子内径/mm 30.5
    下载: 导出CSV

    表  3  不同控制方式性能对比

    Table  3.   Performance comparison of different control methods

    控制方式 转矩脉动 相电流均方值/A
    常规DITC 0.17 8.463
    改进型DITC 0.10 7.564
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-03-13
  • 录用日期:  2019-07-05
  • 网络出版日期:  2019-11-20

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