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航空发动机分布式系统状态反馈周期事件触发控制

宋朋涛 杨清宇 温广瑞 张志芬

宋朋涛, 杨清宇, 温广瑞, 等. 航空发动机分布式系统状态反馈周期事件触发控制[J]. 航空动力学报, 2023, 38(8):2015-2023 doi: 10.13224/j.cnki.jasp.20210640
引用本文: 宋朋涛, 杨清宇, 温广瑞, 等. 航空发动机分布式系统状态反馈周期事件触发控制[J]. 航空动力学报, 2023, 38(8):2015-2023 doi: 10.13224/j.cnki.jasp.20210640
SONG Pengtao, YANG Qingyu, WEN Guangrui, et al. State feedback periodic event-triggered control for aero-engine distributed systems[J]. Journal of Aerospace Power, 2023, 38(8):2015-2023 doi: 10.13224/j.cnki.jasp.20210640
Citation: SONG Pengtao, YANG Qingyu, WEN Guangrui, et al. State feedback periodic event-triggered control for aero-engine distributed systems[J]. Journal of Aerospace Power, 2023, 38(8):2015-2023 doi: 10.13224/j.cnki.jasp.20210640

航空发动机分布式系统状态反馈周期事件触发控制

doi: 10.13224/j.cnki.jasp.20210640
基金项目: 国家科技重大专项(J2019-Ⅴ-0003-0094)
详细信息
    作者简介:

    宋朋涛(1996-),男,博士生,主要从事航空发动机分布式系统的稳定性研究。E-mail:songpengtao@stu.xjtu.edu.cn

    通讯作者:

    杨清宇(1974-),男,教授、博士生导师,博士,主要从事工业智能控制、故障诊断与智能运维研究。E-mail:yangqingyu@mail.xjtu.edu.cn

  • 中图分类号: V233.7

State feedback periodic event-triggered control for aero-engine distributed systems

  • 摘要:

    为平衡航空发动机分布式控制系统中总线服务质量与控制品质之间的矛盾,提出了一种基于线性矩阵不等式理论的周期事件触发机制与保成本控制器协同设计方法。基于输入-状态稳定性(ISS)定理,构造周期事件触发控制下闭环系统渐进稳定的充分条件,并给出了控制器增益与成本函数上界的求解方法;考虑网络时延的影响,利用分段 Lyapunov 泛函,建立时延下闭环系统的稳定性判据,并对系统的时延稳定裕度进行求解和验证。仿真结果表明:在所求解的事件触发机制与控制器联合作用下,闭环系统获得了较好的控制性能。当触发参数设定值为0.4时,系统具有0.454 s的时延稳定裕度,且通信资源节省率达到了83%,有效地提升了网络的服务质量。

     

  • 图 1  航空发动机分布式控制系统结构图

    Figure 1.  Structural diagram of aero-engine distributed control system

    图 2  周期事件触发控制系统结构图

    Figure 2.  Structural diagram of system with PETC

    图 3  时延下数据的传输特性

    Figure 3.  Data transmission characteristics with time delay

    图 4  不同$\lambda $下状态响应曲线

    Figure 4.  State response curve with different $\lambda $

    图 5  不同触发机制下系统的响应特性

    Figure 5.  Response characteristics of system with different event-triggered mechanisms

    图 6  $\sigma = 0.9$时的网络调度图

    Figure 6.  Network scheduling diagram with $\sigma = 0.9$

    图 7  不同时延下的状态响应曲线

    Figure 7.  State response curve with different time delays

    图 8  不同噪声下的响应曲线

    Figure 8.  State response curve with different noises

    图 9  丢包率为20%时系统的响应特性

    Figure 9.  State response curve with packet loss rate of 20%

    表  1  不同触发机制下数据包传输特性

    Table  1.   Packet transmission characteristics with different event-triggered mechanisms

    $\sigma $数据包数量最大触发间隔/s资源节省率/%
    05000.020
    0.4850.2683
    0.9520.3489.6
    下载: 导出CSV
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  • 被引次数: 0
出版历程
  • 收稿日期:  2021-11-08
  • 网络出版日期:  2023-05-31

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