Volume 47 Issue 2
Feb.  2021
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DING Chao, WEI Ruixuan, ZHOU Kaiet al. Distributed optimal rendezvous of multi-UAV systems in prescribed time based on time-domain mapping[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 315-322. doi: 10.13700/j.bh.1001-5965.2020.0215(in Chinese)
Citation: DING Chao, WEI Ruixuan, ZHOU Kaiet al. Distributed optimal rendezvous of multi-UAV systems in prescribed time based on time-domain mapping[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 315-322. doi: 10.13700/j.bh.1001-5965.2020.0215(in Chinese)

Distributed optimal rendezvous of multi-UAV systems in prescribed time based on time-domain mapping

doi: 10.13700/j.bh.1001-5965.2020.0215
Funds:

Science and Technology Innovation 2030-Key Project of "New Generation Artificial Intelligence" 2018AAA0102403

National Natural Science Foundation of China 61573373

More Information
  • Corresponding author: WEI Ruixuan. E-mail: rxwei369@sohu.com
  • Received Date: 26 May 2020
  • Accepted Date: 19 Jun 2020
  • Publish Date: 20 Feb 2021
  • To solve the prescribed-time optimal rendezvous problem for multi-UAV systems, a distributed optimization framework is established based on time-domain transformation technique. By introducing a specific time-domain transformation, the prescribed-time decision problem in original time-domain is transformed into an asymptotically stable problem in the infinite domain, which simplifies the analysis and design process. Then, we design a prescribed-time gradient descent algorithm whose convergence time is independent of the initial states as well as other parameters and therefore can be pre-specified. Besides, the application of time-varying gain removes the parameter selection process, which enables the proposed method in the context of a serious lack of global information. The simulation results show that this method is able to achieve the distributed optimal rendezvous for multiple UAVs in prescribed time, and the closed-loop system remains globally bounded in mission time.

     

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  • [1]
    BEARD R D, MCLAIN T W, GOODRICH M A, et al. Coordinated target assignment and intercept for unmanned air vehicles[J]. IEEE Transactions on Robotics and Automation, 2002, 18(6): 911-922. doi: 10.1109/TRA.2002.805653
    [2]
    SCARDOVI L, SEPULCHRE R. Synchronization in networks of identical linear systems[J]. Automatica, 2009, 48(8): 2557-2562.
    [3]
    SHI G D, JOHANSSON K. Robust consensus for continuous time multi-agent dynamics[J]. SIAM Journal on Control and Optimization, 2013, 48(5): 3673-3691.
    [4]
    DIMAROGONAS D, KYRIAKOPOULOS K. On the rendezvous problem for multiple nonholonomic agents[J]. IEEE Transactions on Automatic Control, 2007, 52(5): 916-922. doi: 10.1109/TAC.2007.895897
    [5]
    DING C, DONG X M, SHI C, et al. Leaderless output consensus of multi-agent systems with distinct relative degrees under switching directed topologies[J]. IET Control Theory and Applications, 2019, 13(3): 313-320. doi: 10.1049/iet-cta.2018.5140
    [6]
    何吕龙, 张佳强, 侯岳奇, 等. 有向通信拓扑和时延条件下的无人机集群时变编队控制[J]. 北京航空航天大学学报, 2020, 46(2): 314-323. doi: 10.13700/j.bh.1001-5965.2019.0206

    HE L L, ZHANG J Q, HOU Y Q, et al. Time-varying formation control for UAV swarm with directed interaction topology and communication delay[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(2): 314-323(in Chinese). doi: 10.13700/j.bh.1001-5965.2019.0206
    [7]
    NEDIC A, OZDAGLAR A. Distributed subgradient methods for multi-agent optimization[J]. IEEE Transactions on Automatic Control, 2009, 54(1): 48-61. doi: 10.1109/TAC.2008.2009515
    [8]
    ZHU M H, MARTÍNEZ S. On distributed convex optimization under inequality and equality constraints[J]. IEEE Transactions on Automatic Control, 2012, 57(1): 151-164. doi: 10.1109/TAC.2011.2167817
    [9]
    DUCHI J, AGARWAL A, WAINWRIGHT M. Dual averaging for distributed optimization: Convergence and network scaling[J]. IEEE Transactions on Automatic Control, 2012, 57(3): 592-606. doi: 10.1109/TAC.2011.2161027
    [10]
    LIN P, REN W, SONG Y. Distributed multi-agent optimization subject to nonidentical constraints and communication delays[J]. Automatica, 2016, 65: 120-131. doi: 10.1016/j.automatica.2015.11.014
    [11]
    KIA S S, CORTÉS J, MARTÍNEZ S. Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication[J]. Automatica, 2015, 55: 254-264. doi: 10.1016/j.automatica.2015.03.001
    [12]
    ZHAO Y, LIU Y F, WEN G H, et al. Distributed optimization for linear multiagent systems: Edge- and node-based adaptive designs[J]. IEEE Transactions on Automatic Control, 2017, 62(7): 3602-3609. doi: 10.1109/TAC.2017.2669321
    [13]
    LIN P, REN W.Distributed shortest distance consensus problem in multi-agent systems[C]//Proceedings of IEEE Conference on Decision and Control.Piscataway: IEEE Press, 2013: 4696-4701.
    [14]
    LIN P, REN W, SONG Y D, et al.Distributed optimization with the consideration of adaptivity and finite-time convergence[C]//Proceedings of 2014 American Control Conference.Piscataway: IEEE Press, 2014: 3177-3182.
    [15]
    LIN P, REN W, FARRELL J A. Distributed continuous-time optimization: Nonuniform gradient gains, finite-time convergence, and convex constraint set[J]. IEEE Transactions on Automatic Control, 2017, 62(5): 2239-2253. doi: 10.1109/TAC.2016.2604324
    [16]
    NING B D, HAN Q L, ZUO Z Y. Distributed optimization for multiagent systems: An edge-based fixed-time consensus approach[J]. IEEE Transactions on Cybernetics, 2019, 49(1): 122-132. doi: 10.1109/TCYB.2017.2766762
    [17]
    GODSIL C, ROYLE G. Algebraic graph theory[M]. Berlin: Springer, 2001.
    [18]
    FACCHINEI F, PANG J. Finite-dimensional variational inequalities and complementarity problems[M]. Berlin: Springer, 2003.
    [19]
    REN W, NATHAN S. Distributed coordination architecture for multi-robot formation control[J]. Robotics and Autonomous Systems, 2008, 56(2): 324-333. http://www.sciencedirect.com/science/article/pii/S0921889007001108
    [20]
    DING C, SHI C, CHEN Y. Nonsingular prescribed-time stabilization of a class of uncertain nonlinear systems: A novel coordinate mapping method[J]. International Journal of Robust and Nonlinear Control, 2020, 30(9): 3566-3581. doi: 10.1002/rnc.4949
    [21]
    CHEN F, CAO Y, REN W. Distributed average tracking of multiple time-varying reference signals with bounded derivatives[J]. IEEE Transactions on Automatic Control, 2012, 57(12): 3169-3174. doi: 10.1109/TAC.2012.2199176
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