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飞行环境模拟系统多变量自抗扰温压解耦控制设计与实现

钱秋朦 翟超 张和洪 但志宏 徐周浙 吴林峰 王宏伦 伦岳斌

钱秋朦, 翟超, 张和洪, 等. 飞行环境模拟系统多变量自抗扰温压解耦控制设计与实现[J]. 航空动力学报, 2026, 41(7):20240472 doi: 10.13224/j.cnki.jasp.20240472
引用本文: 钱秋朦, 翟超, 张和洪, 等. 飞行环境模拟系统多变量自抗扰温压解耦控制设计与实现[J]. 航空动力学报, 2026, 41(7):20240472 doi: 10.13224/j.cnki.jasp.20240472
Qian Qiumeng, Zhai Chao, Zhang Hehong, et al. Multi-variable active disturbance rejection decoupling control between temperature and pressure for flight environment simulation system[J]. Journal of Aerospace Power, 2026, 41(7):20240472 doi: 10.13224/j.cnki.jasp.20240472
Citation: Qian Qiumeng, Zhai Chao, Zhang Hehong, et al. Multi-variable active disturbance rejection decoupling control between temperature and pressure for flight environment simulation system[J]. Journal of Aerospace Power, 2026, 41(7):20240472 doi: 10.13224/j.cnki.jasp.20240472

飞行环境模拟系统多变量自抗扰温压解耦控制设计与实现

doi: 10.13224/j.cnki.jasp.20240472
基金项目: 基础加强重点项目(JWKT-2001-2022-0002); 国家自然科学基金(62003088)
详细信息
    作者简介:

    钱秋朦(1988-),男,高级工程师,硕士,主要从事航空发动机等方面的科研工作

    通讯作者:

    张和洪(1990-),男,教授,博士,主要从事智能信号处理、自抗扰控制、高空环境模拟技术等方面的教学与科研工作。E-mail:1204713191@qq.com

  • 中图分类号: V217

Multi-variable active disturbance rejection decoupling control between temperature and pressure for flight environment simulation system

  • 摘要:

    高空台飞行环境参数的准确模拟对开展发动机性能测试与评价至关重要,然而发动机过渡态试验中进气环境压力与温度控制变量间的强耦合性制约了环境参数的综合控制品质,同时考虑到过渡态试验任务中的强扰动特性,通过改进扩张状态观测器得到新型自抗扰控制(ADRC)算法,并将其成功应用到进气环境模拟系统的温压解耦控制中。推导出进气环境模拟系统压力和温度回路的仿射模型并进行自抗扰解耦设计,对解耦设计中输入矩阵的可逆性问题进行了深入分析,针对逆矩阵的病态性与不可逆性提出了对应的解决方案。针对高增益线性扩张状态观测器(LESO)对状态与扰动估计存在的抖振现象,设计了误差反馈函数(qsat)得到新型QSAT-ESO算法,基于劳斯判据证明了所设计ESO的稳定性,得到基于QSAT-ESO的ADRC解耦控制方法(QSAT-ADRC)。最后,搭建飞行环境模拟系统仿真平台开展了发动机过渡态试验,对比了所提出的QSAT-ADRC与LADRC的解耦控制方法。结果显示:在规划的过渡态飞行任务剖面下,基于QSAT-ADRC方法控制下的进气压力和温度的绝对积分误差比LADRC方法分别减少63%和88%,同时充分抑制了阀门摆动,有效提升了发动机过渡态飞行任务模拟试验中进气压力与温度的综合控制品质,为提升发动机性能测试与评价的准确性奠定坚实的基础。

     

  • 图 1  飞行环境模拟系统结构简图

    Figure 1.  Structural diagram of flight environment simulation system

    图 2  容腔结构简图

    Figure 2.  Schematic diagram of cavity structure

    图 3  自抗扰温压解耦控制结构框图

    Figure 3.  Active disturbance rejection temperature and pressure decoupling control structure block diagram

    图 4  飞行任务剖面

    Figure 4.  Flight mission profile

    图 5  机动飞行温压解耦控制

    Figure 5.  Maneuvering flight temperature-pressure decoupling control

    图 6  等马赫数下降温压解耦控制

    Figure 6.  Temperature and pressure decoupling control under the same Mach number descending

    图 7  等马赫数爬升温压解耦控制

    Figure 7.  Temperature and pressure decoupling control under the same Mach number climbing

    图 8  推力瞬变温压解耦控制

    Figure 8.  Thrust transient temperature-pressure decoupling control

    图 9  814、815阀阀门输出对比

    Figure 9.  Valve output comparison between 814 and 815

    图 10  ADRC压力解耦控制效果

    Figure 10.  ADRC pressure decoupling control effect

    图 11  ADRC温度解耦控制效果

    Figure 11.  ADRC temperature decoupling control effect

    图 12  扰动的估计效果

    Figure 12.  Estimation effect of disturbance

    表  1  进气压力与温度总误差

    Table  1.   Intake pressure and temperature total error

    控制方法进气压力总误差/Pa进气温度总误差/K
    PID144509.56
    LESO23922.78
    QSAT-ADRC871.40.32
    下载: 导出CSV

    表  2  90~125 s进气压力与温度总误差

    Table  2.   90—125 s intake pressure and temperature total error

    控制方法 进气压力
    误差/Pa
    进气温度
    误差/K
    PID 8017 6.18
    LESO 893.1 1.564
    QSAT-ADRC 429.1 0.13
    下载: 导出CSV

    表  3  阀门摆动量

    Table  3.   Valve swing

    控制方法 814阀门摆动量/% 815阀门摆动量/%
    PID 1075 1057
    LESO 41.14 37.59
    QSAT-ADRC 39.89 32.92
    下载: 导出CSV
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  • 收稿日期:  2024-07-12
  • 网络出版日期:  2026-04-23

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