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拒止环境下基于"忠诚僚机"的护航策略

田磊 赵启伦 董希旺 李清东 吕金虎 任章

田磊, 赵启伦, 董希旺, 等 . 拒止环境下基于'忠诚僚机'的护航策略[J]. 北京航空航天大学学报, 2021, 47(5): 1058-1067. doi: 10.13700/j.bh.1001-5965.2020.0090
引用本文: 田磊, 赵启伦, 董希旺, 等 . 拒止环境下基于"忠诚僚机"的护航策略[J]. 北京航空航天大学学报, 2021, 47(5): 1058-1067. doi: 10.13700/j.bh.1001-5965.2020.0090
TIAN Lei, ZHAO Qilun, DONG Xiwang, et al. Escort strategy based on loyal wingman in denial environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(5): 1058-1067. doi: 10.13700/j.bh.1001-5965.2020.0090(in Chinese)
Citation: TIAN Lei, ZHAO Qilun, DONG Xiwang, et al. Escort strategy based on loyal wingman in denial environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(5): 1058-1067. doi: 10.13700/j.bh.1001-5965.2020.0090(in Chinese)

拒止环境下基于"忠诚僚机"的护航策略

doi: 10.13700/j.bh.1001-5965.2020.0090
基金项目: 

国家自然科学基金 61922008

国家自然科学基金 61973013

国家自然科学基金 61873011

国家自然科学基金 61803014

国防创新特区项目 18-163-00-TS-001-001-34

北京市自然科学基金 4182035

航空科学基金 20170151001

详细信息
    作者简介:

    田磊 男, 硕士, 助理工程师。主要研究方向:多智能体系统协同控制方法及其应用

    赵启伦 男, 博士, 工程师。主要研究方向:协同制导与协同控制

    董希旺 男, 博士, 教授。主要研究方向:一致性控制、编队控制、合围控制及其应用

    李清东 男, 博士, 高级工程师。主要研究方向:飞行器故障诊断及飞行器控制、制导、导航

    吕金虎 男, 博士, 教授。主要研究方向:智能系统、协同控制理论与技术、复杂网络与大数据、非线性电路与系统等

    任章 男, 博士, 教授。主要研究方向:控制理论与应用及飞行器控制、制导、导航与仿真

    通讯作者:

    董希旺, E-mail: xwdong@buaa.edu.cn

  • 中图分类号: V249

Escort strategy based on loyal wingman in denial environment

Funds: 

National Natural Science Foundation of China 61922008

National Natural Science Foundation of China 61973013

National Natural Science Foundation of China 61873011

National Natural Science Foundation of China 61803014

National Defense Innovation Zone Project 18-163-00-TS-001-001-34

Beijing Natural Science Foundation 4182035

Aeronautical Science Foundation of China 20170151001

More Information
  • 摘要:

    护航策略一直是各军事大国的重点研究内容之一,拒止环境具有强电磁干扰、强对抗博弈等特点,进而对护航策略提出了更高的要求。提出了一种基于分布式时变编队跟踪控制方法的护航策略,该策略中由高成本长机探测到敌方来袭导弹,在进行规避的同时,释放多个低成本僚机担任“忠诚僚机”。采用时变编队跟踪的控制方法,使僚机始终处于长机与敌方来袭导弹的视线轴上,必要时牺牲僚机以保全长机。针对敌方来袭导弹的方位角是全局信息,设计了分布式观测器对其进行估计。在拒止环境下,复杂电磁干扰带来通信时断时续,导致长机与僚机及僚机与僚机之间的通信拓扑存在切换。为应对电磁干扰对通信拓扑的破坏,提高抗电磁干扰能力,考虑僚机外部扰动和长机规避机动动作同时存在的情况,基于观测器理论、自适应控制理论和滑模控制理论,构造了具体通信拓扑切换机制的分布式控制协议,并利用Lyapunov理论证明了僚机采用该协议能够实现拒止环境下基于“忠诚僚机”的护航策略。通过仿真模拟导弹来袭场景,验证了所提策略的有效性。

     

  • 图 1  护航策略示意图

    Figure 1.  Schematic diagram of escort strategy

    图 2  拒止环境下的通信拓扑关系

    Figure 2.  Communication topologies in denial environment

    图 3  分布式观测器的估计误差

    Figure 3.  Estimate error of distributed observer

    图 4  无人机自适应增益曲线

    Figure 4.  Curves of adaptive gains for UAVs

    图 5  整个护航过程图例

    Figure 5.  Legend of whole escort process

    图 6  护航误差曲线

    Figure 6.  Curves of escort error

  • [1] REN W.Consensus strategies for cooperative control of vehicle formations[J].IET Control Theory and Applications, 2007, 1(2):505-512. doi: 10.1049/iet-cta:20050401
    [2] DONG X W, HU G Q.Time-varying formation control for general linear multi-agent systems with switching directed topologies[J].Automatica, 2016, 73:47-55. doi: 10.1016/j.automatica.2016.06.024
    [3] HE Y L, ZHANG J Q, HOU Y Q, et al.Time-varying formation control for second-order discrete-time multi-agent systems with directed topologies and nonuniform communication delays[J].IEEE Access, 2019, 7:33517-33527. doi: 10.1109/ACCESS.2019.2904663
    [4] WANG R, DONG X W, LI Q D, et al.Distributed adaptive formation control for linear swarm systems with time-varying formation and switching topologies[J].IEEE Access, 2016, 4:8995-9004. doi: 10.1109/ACCESS.2016.2646399
    [5] HUA Y Z, DONG X W, LI Q D, et al.Robust adaptive time-varying formation control for high-order linear uncertain multi-agent systems[C]//201736th Chinese Control Conference (CCC), 2017: 8349-8354.
    [6] DONG X W, ZHOU Y, REN Z, et al.Time-varying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying[J].IEEE Transactions on Industrial Electronics, 2017, 64(6):5014-5024. doi: 10.1109/TIE.2016.2593656
    [7] YU J L, DONG X W, LI Q D, et al.Practical time-varying formation tracking for multiple non-holonomic mobile robot systems based on the distributed extended state observers[J].IET Control Theory and Applications, 2018, 12(12):1737-1747. doi: 10.1049/iet-cta.2017.1397
    [8] DONG X W, TAN Q K, LI Q D, et al.Necessary and sufficient conditions for average formation tracking of second-order multi-agent systems with multiple leaders[J].Journal of the Franklin Institute, 2017, 354(2):611-626. doi: 10.1016/j.jfranklin.2016.10.030
    [9] YU J L, DONG X W, LI Q D, et al.Practical time-varying formation tracking for second-order nonlinear multiagent systems with multiple leaders using adaptive neural networks[J].IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(12):6015-6025. doi: 10.1109/TNNLS.2018.2817880
    [10] SU H S, ZHANG J X, CHEN X.A stochastic sampling mechanism for time-varying formation of multiagent systems with multiple leaders and communication delays[J].IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(12):3699-3707. doi: 10.1109/TNNLS.2019.2891259
    [11] HUA Y Z, DONG X W, WANG J B, at el.Time-varying output formation tracking for heterogeneous linear multi-agent systems with multiple leaders and switching topologies[J].Journal of the Franklin Institute, 2019, 356(1):539-560. doi: 10.1016/j.jfranklin.2018.11.006
    [12] HUA Y Z, DONG X W, HU G Q, at el.Distributed time-varying output formation tracking for heterogeneous linear multi-agent systems with a nonautonomous leader of un-known input[J].IEEE Transactions on Automatic Control, 2019, 64(10):4292-4299. doi: 10.1109/TAC.2019.2893978
    [13] HUA Y Z, DONG X W, HAN L, at el.Finite-time time-varying formation tracking for high-order multiagent systems with mismatched disturbances[J].IEEE Transactions on Systems, Man, and Cybernetics:Systems, 2020, 50(10):3795-3803. http://www.researchgate.net/publication/347279075_Finite-Time_Time-Varying_Group_Formation_Tracking_for_High-Order_Multi-Agent_Systems_with_Mismatched_Disturbances_under_Directed_Graphs
    [14] DUAN J, ZHANG H G, CAI Y L, at el.Finite-time time-varying output formation-tracking of heterogeneous linear multi-agent systems[J].Journal of the Franklin Institute, 2020, 357(2):926-941. doi: 10.1016/j.jfranklin.2019.10.012
    [15] 田磊, 王蒙一, 赵启伦, 等.拓扑切换的集群系统分布式分组时变编队跟踪控制[J].中国科学:信息科学, 2020, 50(3):408-423. https://www.cnki.com.cn/Article/CJFDTOTAL-PZKX202003009.htm

    TIAN L, WANG M Y, ZHAO Q L, et al.Distributed time-varying group formation tracking for cluster systems with switching interaction topologies[J].Scientia Sinica Informations, 2020, 50(3):408-423(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-PZKX202003009.htm
    [16] WANG X J, WANG S P, YANG Z W, at el.Active fault-tolerant control strategy of large civil aircraft under elevator failures[J].Chinese Journal of Aeronautics, 2015, 28(6):1658-1666. doi: 10.1016/j.cja.2015.10.001
    [17] REN W, BEARD R W.Consensus seeking in multiagent systems under dynamically changing interaction topologies[J].IEEE Transactions on Automatic Control, 2005, 50(5):655-661. doi: 10.1109/TAC.2005.846556
    [18] LI Z K, DUAN Z S, CHEN G R, at el.Consensus of multiagent systems and synchronization of complex networks:A unified viewpoint[J].IEEE Transactions on Circuits and Systems I:Regular Papers, 2010, 57(1):213-224. doi: 10.1109/TCSI.2009.2023937
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出版历程
  • 收稿日期:  2020-03-12
  • 录用日期:  2020-05-15
  • 网络出版日期:  2021-05-20

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