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改进反激拓扑模式下远端稳压电源控制方案

张帅 韩小文 李儒鹏 程鹏 李正天 王玉姣

张帅,韩小文,李儒鹏,等. 改进反激拓扑模式下远端稳压电源控制方案[J]. 北京航空航天大学学报,2024,50(4):1229-1239 doi: 10.13700/j.bh.1001-5965.2022.0458
引用本文: 张帅,韩小文,李儒鹏,等. 改进反激拓扑模式下远端稳压电源控制方案[J]. 北京航空航天大学学报,2024,50(4):1229-1239 doi: 10.13700/j.bh.1001-5965.2022.0458
ZHANG S,HAN X W,LI R P,et al. Improved remote regulated power supply control scheme in improved flyback converter[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1229-1239 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0458
Citation: ZHANG S,HAN X W,LI R P,et al. Improved remote regulated power supply control scheme in improved flyback converter[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(4):1229-1239 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0458

改进反激拓扑模式下远端稳压电源控制方案

doi: 10.13700/j.bh.1001-5965.2022.0458
详细信息
    通讯作者:

    E-mail:2569119978@qq.com

  • 中图分类号: TP273.4

Improved remote regulated power supply control scheme in improved flyback converter

More Information
  • 摘要:

    为提高远端稳压电源的供电质量,最大限度的在高可靠性前提下保证发射设备输出电压快速、平稳地达到设定值,提出一种改进反激拓扑模式下远端稳压电源设计方式,并建立相应数学模型。设计了前置论域整定的模糊比例积分微分(PID)控制算法,通过论域整定模型将模糊PID参数直接映射到模糊规则下,消除试凑法偶然性的同时消除了量化因子对误差的放大作用,有效地避免了过度调整的现象;引用模糊逻辑来实时处理远端稳压电源的动态参量值,并根据反模糊映射函数将生成的量化值映射到控制元件。仿真环境模拟结果表明:与模糊PID控制相比,前置论域整定的模糊PID控制算法具有优良稳态性能,调节时间缩短48.1%,响应时间缩短了28.6%并降低到1.4 ms;与此同时,该控制方案能够有效地抵抗突发性干扰,稳压输出时间缩短了45.5%,响应时间缩短到37.5%。实验结果表明:前置整定模糊PID控制算法可以运用到实际工业环境中,与工业环境下传统控制算法比,前置整定模糊PID控制算法可以大幅提高远端稳压电源的供电质量,具备优良的鲁棒性。

     

  • 图 1  改进反激拓扑模式下远端稳压电源工作原理

    Figure 1.  Working principle diagram of remote regulated power supply in improved flyback topology mode

    图 2  远端稳压电源简化电路模型

    Figure 2.  Remote regulated power supply simplified version control block diagram

    图 3  开关器件的平均化等效模型

    Figure 3.  Averaged equivalent model for switching devices

    图 4  主电路等效小信号模型

    Figure 4.  Equivalent small signal model of main circuit

    图 5  前置论域整定的模糊PID控制原理模型

    Figure 5.  Fuzzy PID control model diagram of pre-universal domain rectification

    图 6  经典模糊PID控制模型

    Figure 6.  Classical fuzzy PID control model diagram

    图 7  输入量隶属函数

    Figure 7.  Input membership function

    图 8  控制参数输入输出关系

    Figure 8.  Control parameter input and output relationship graphs

    图 9  前置整定过程SIMULINK仿真模型

    Figure 9.  SIMULINK simulation model diagram of pre-tuning process

    图 10  前置整定模糊PID算法SIMULINK仿真模型

    Figure 10.  Pre-tuning fuzzy PID algorithm SIMULINK simulation model diagram

    图 11  不同控制策略下仿真曲线

    Figure 11.  Simulation curves under different control strategies

    图 12  前置参数整定的模糊PID控制算法线路连接示意

    Figure 12.  Schematic diagram of circuit connection of fuzzy PID control algorithm for pre-parameter tuning

    图 13  电源模块软件PID输出控制流程

    Figure 13.  Power module software PID output control process

    图 14  FLASH内实时监测远端电压值

    Figure 14.  Real-time monitoring of remote voltage value in FLASH

    图 15  远端输出电压变化趋势

    Figure 15.  Remote output voltage change trend diagram

    表  2  积分因子Ki的模糊规则

    Table  2.   Fuzzy control of integral factor Ki

    e(t) ec[de(t)/dt]
    NB NM NS ZE PS PM PB
    NB NB NB NM NM NS ZE ZE
    NM NB NB NM NS NS ZE ZE
    NS NB NM NS NS ZE PS PS
    ZE NM NM NS ZE PS PM PM
    PS NM NS ZE PS PS PM PB
    PM ZE ZE PS PS PM PB PB
    PB ZE ZE PS PM PM PB PB
    下载: 导出CSV

    表  1  比例因子Kp的模糊规则

    Table  1.   Fuzzy control of proportional factor Kp

    e(t) ec[de(t)/dt]
    NB NM NS ZE PS PM PB
    NB PB PB PM PM PS ZE ZE
    NM PB PB PM PS PS ZE ZE
    NS PM PM PM PM ZE NS NS
    ZE PM PM PS NS NS NM NM
    PS PS PS ZE NS NS NM NM
    PM PS ZE NS NM NM NM NB
    PB ZE ZE NM NM NM NB NB
    下载: 导出CSV

    表  3  微分因子Kd的模糊规则

    Table  3.   Fuzzy control of derivative factor Kd

    e(t) ec[de(t)/dt]
    NB NM NS ZE PS PM PB
    NB PS NS NB NB NB NM PS
    NM PS NS NB NB NB NM PS
    NS ZE NS NS NS NS NS ZE
    ZE ZE NS NS NS NS NS ZE
    PS ZE ZE ZE ZE ZE ZE ZE
    PM PB NS PS PS PS PS PB
    PB PB PM PM PM PS PS PB
    下载: 导出CSV

    表  4  前置整定模糊PID算法仿真数据

    Table  4.   Pre-tuned fuzzy PID algorithm simulation data

    仿真方式 控制策略 最大超调量/
    %
    上升时间/
    ms
    调节时间/
    ms
    28 V稳定仿真 前置整定的
    模糊PID控制
    17.50 0.5 1.4
    模糊PID控制 21.25 0.7 2.7
    PID控制 23.36 0.9 3.0
    系统扰动状态 前置整定的
    模糊PID控制
    4.80 0.5 1.2
    模糊PID控制 4.90 0.8 2.2
    PID控制 6.20 1.0 3.0
    下载: 导出CSV

    表  5  前置整定模糊PID算法实验数据

    Table  5.   Pre-tuned fuzzy PID algorithm simulation data

    控制策略最大超调量/%上升时间/ms调节时间/ms
    前置整定的模糊PID控制2.530.50.6
    模糊PID控制2.861.01.4
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-06-08
  • 录用日期:  2022-08-15
  • 网络出版日期:  2022-09-30
  • 整期出版日期:  2024-04-29

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