Guaranteed-performance formation tracking control of multi-UAVs with intermittent communication

被引：0
|
作者：
Quan W. [1 ]
Luo Z. [1 ]
Yang X. [1 ]
Han X. [2 ]
Xi J. [1 ]
机构：
[1] College of Missile Engineering, Rocket Force University of Engineering, Xi'an
[2] Academy of the Rocket Force, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2021年 / 43卷 / 11期
关键词：
Guaranteed performance; Intermittent communication; Multi-UAVs formation; Tracking control;
D O I：
10.12305/j.issn.1001-506X.2021.11.29
中图分类号：
学科分类号：
摘要：
Aiming at the problem of optimized formation control, multi-unmanned aerial vehicles (UAVs) formation tracking control method with guaranteed performance is proposed. Firstly, a distributed performance indicator is introduced to describe the formation regulation performance of multi-UAVs systems. Then, an intermittent communication-type multi-UAVs formation tracking controller is designed, which can build distributed feedback control basing on the local interaction information amongst UAVs during the communication period and cut off the control input during the interruption period to eliminate the influence to the intermittent communication. Then, the multi-UAVs guaranteed-performance time-varying formation tracking control criterion under intermittent communication conditions is obtained and an upper bound of the guarantee performance for the multi-UAVs systems is determined. Finally, the validity of the theoretical results is verified by a simulation example. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：3288 / 3294
页数：6
相关论文
共 31 条
  • [1] LI C X, LIU Z, YI H., Cooperative motions control method guided by virtual formations for multi-UAVs, Systems Engineering and Electronics, 34, 6, pp. 1220-1224, (2012)
  • [2] ZHAO W, LI R, ZHANG H., Finite-time distributed formation tracking control of multi-UAVs with a time-varying reference trajectory, IMA Journal of Mathematical Control and Information, 35, 4, pp. 1297-1318, (2018)
  • [3] GAO W, YANG J, LIU J, Et al., Cooperative location of multiple UUVs based on hydro-acoustic communication delay, Systems Engineering and Electronics, 36, 3, pp. 539-545, (2014)
  • [4] BELKACEM K, MUNAWAR K, MUHAMMAD S S, Et al., Distributed cooperative control of autonomous multi-agent UAV systems using smooth control, Journal of Systems Engineering and Electronics, 31, 6, pp. 1297-1307, (2020)
  • [5] GAN W, JIANG Z P, LEWIS L, Et al., Leader-to-formation stability of multiagent systems: an adaptive optimal control approach, IEEE Trans.on Automatic Control, Automation and Systems, 63, 10, pp. 3581-3587, (2018)
  • [6] HU T, LIU Z J, LIU Y, Et al., 3D surveillance path planning for multi-UAVs, Systems Engineering and Electronics, 41, 7, pp. 1551-1559, (2019)
  • [7] DYDEK Z T, ANNASWAMY A M, LAVRETSKY E., Adaptive configuration control of multiple UAVs, Control Engineering Practice, 21, 8, pp. 1043-1052, (2013)
  • [8] WANG J N, XIN M., Integrated optimal formation control of multiple unmanned aerial vehicles, IEEE Trans.on Control System Technology, 21, 5, pp. 1731-1744, (2013)
  • [9] BAYEZIT I, FIDAN B., Distributed cohesive motion control of flight vehicle formations, IEEE Trans.on Industrial Electronics, 60, 12, pp. 5763-5772, (2013)
  • [10] REN W., Consensus strategies for cooperative control of vehicle formations, IET Control Theory and Applications, 1, 2, pp. 505-512, (2007)
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