Articles

Predefined time tracking control of unmanned aerial vehicles under stochastic switching topology

  • Ji MA ,
  • Xiangyong CHEN ,
  • Guanghui WEN ,
  • Long CHENG ,
  • Jianlong QIU
Expand
  • 1.School of Automation and Electrical Engineering,Linyi University,Linyi 276005,China
    2.School of Mathematics,Southeast University,Nanjing 210096,China

Received date: 2024-06-05

  Revised date: 2024-07-06

  Accepted date: 2024-07-10

  Online published: 2024-07-22

Supported by

National Natural Science Foundation of China(62173175);Natural Science Foundation of Shandong Province(ZR2024MF032)

Abstract

A distributed predefined time adaptive sliding mode control method is proposed to address the tracking control problem of a second-order fixed-wing Unmanned Aerial Vehicle (UAV) system with stochastic switching communication topology structure. Firstly, a three degree of freedom mathematical model for fixed-wing UAV cluster is established and transformed into a second-order integrator model with disturbances. Based on this established model, a suitable sliding surface is selected, and a distributed predefined time tracking controller is designed. To handle the interference problem faced by the UAV system during flight, an adaptive control strategy was proposed. In addition, this paper cites a predefined time theorem and proves through Lyapunov stability theory that the second-order UAV system can achieve stability within the predefined time. Finally, numerical simulations have demonstrated the feasibility of the proposed tracking control strategy for a fixed-wing UAV system with stochastic switching topology.

Cite this article

Ji MA , Xiangyong CHEN , Guanghui WEN , Long CHENG , Jianlong QIU . Predefined time tracking control of unmanned aerial vehicles under stochastic switching topology[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(S1) : 730793 -730793 . DOI: 10.7527/S1000-6893.2024.30793

References

1 RIBEIRO R G, COTA L P, EUZéBIO T A M, et al. Unmanned-aerial-vehicle routing problem with mobile charging stations for assisting search and rescue missions in postdisaster scenarios[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems202252(11): 6682-6696.
2 QIN Z, WANG H, WEI Z H, et al. Task selection and scheduling in UAV-enabled MEC for reconnaissance with time-varying priorities[J]. IEEE Internet of Things Journal20218(24): 17290-17307.
3 LI X D, YAO R G, FAN Y, et al. Secure efficiency map-enabled UAV trajectory planning[J]. IEEE Wireless Communications Letters202312(8): 1324-1328.
4 HUANG Z G, CHEN M. Coordinated disturbance observer-based flight control of fixed-wing UAV[J]. IEEE Transactions on Circuits and Systems II: Express Briefs202269(8): 3545-3549.
5 XUE W, QI J H, SHAO G Q, et al. Low-rank approximation and multiple sparse constraint modeling for infrared low-flying fixed-wing UAV detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing202114: 4150-4166.
6 CHEN Y J, CHANG D K, ZHANG C. Autonomous tracking using a swarm of UAVs: A constrained multi-agent reinforcement learning approach[J]. IEEE Transactions on Vehicular Technology202069(11): 13702-13717.
7 LIU Z C, HUANG J S, WEN C Y, et al. Distributed control of nonlinear systems with unknown time-varying control coefficients: A novel nussbaum function approach[J]. IEEE Transactions on Automatic Control202368(7): 4191-4203.
8 贺林翰, 高晗威, 程鹏飞, 等. 基于扰动观测器的无人机固定时间编队协同控制[J]. 海军航空大学学报202338(06): 510-518.
  HE L H, GAO H W, CHENG P F, et al. Coordinated control of fixed-time UAV formation based on disturbance observer[J]. Journal of Naval Aviation University202338(06): 510-518 (in Chinese).
9 ZHANG C F, ZHANG G S, DONG Q. Multi-variable finite-time observer-based adaptive-gain sliding mode control for fixed-wing UAV[J]. IET Control Theory & Applications202115(2): 223-247.
10 YANG J, LIU C J, COOMBES M, et al. Optimal path following for small fixed-wing UAVs under wind disturbances[J]. IEEE Transactions on Control Systems Technology202129(3): 996-1008.
11 MIHAI L G. Backstepping and dynamic inversion combined controller for auto-landing of fixed wing UAVs[J]. Aerospace Science and Technology202096: 105526.
12 张清瑞, 刘赟韵, 孙慧杰, 等. 固定翼无人机紧密编队的鲁棒协同跟踪控制[J]. 航空学报202445(1): 629233.
  ZHANG Q R, LIU Y Y, SUN H J, et al. Robust cooperative tracking control for close formation of fixed-wing unmanned aerial vehicles[J]. Acta Aeronautica et Astronautica Sinica202445(1): 629233 (in Chinese).
13 ZHOU J L, LV Y Z, WEN G H, et al. Resilient consensus of multiagent systems under malicious attacks: Appointed-time observer-based approach[J]. IEEE Transactions on Cybernetics202252(10): 10187-10199.
14 马亚杰, 王娟, 姜斌, 等. 一种无人机-无人车编队系统容错控制方法[J]. 航空学报202344(8): 327216.
  MA Y J, WANG J, JIANG B, et al. A fault-tolerant control scheme for UAVs-UGVs formation systems[J]. Acta Aeronautica et Astronautica Sinica202344(8): 327216 (in Chinese).
15 HUA Y Z, DONG X W, HAN L, et al. Finite-time time-varying formation tracking for high-order multiagent systems with mismatched disturbances[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems202050(10): 3795-3803.
16 ZHOU J L, LV Y Z, WEN C Y, et al. Solving specified-time distributed optimization problem via sampled-data-based algorithm[J]. IEEE Transactions on Network Science and Engineering20229(4): 2747-2758.
17 XU H, CUI G Z, MA Q, et al. Fixed-time disturbance observer-based distributed formation control for multiple QUAVs[J]. IEEE Transactions on Circuits and Systems II: Express Briefs202370(6): 2181-2185.
18 CUI G Z, YANG W, YU J P, et al. Fixed-time prescribed performance adaptive trajectory tracking control for a QUAV[J]. IEEE Transactions on Circuits and Systems II: Express Briefs202269(2): 494-498.
19 LIU W, CHEN M, SHI P. Fixed-time disturbance observer-based control for quadcopter suspension transportation system[J]. IEEE Transactions on Circuits and Systems I: Regular Papers202269(11): 4632-4642.
20 许闯, 吴宝林. 输入饱和下多航天器分布式固定时间输出反馈姿态协同控制[J]. 航空学报202344(10): 327465.
  XU C, WU B L. Distributed fixed-time output-feedback attitude consensus control for multiple spacecraft with input saturation[J]. Acta Aeronautica et Astronautica Sinica202344(10): 327465 (in Chinese).
21 CHEN X Y, JIA T Y, WANG Z S, et al. Practical fixed-time bipartite synchronization of uncertain coupled neural networks subject to deception attacks via dual-channel event-triggered control[J]. IEEE Transactions on Cybernetics202454(6): 3615-3625.
22 CHEN X Y, LIU H W, WEN G H, et al. Adaptive neural preassigned-time control for macro–micro composite positioning stage with displacement constraints[J]. IEEE Transactions on Industrial Informatics202420(2): 1103-1112.
23 DíAZ-MU?OZ J D, MARTíNEZ-FUENTES O, CRUZ-VEGA I. Predefined-time control design for tracking chaotic trajectories around a contour with an UAV[J]. Expert Systems with Applications2024250: 123852.
24 魏志强, 翁哲鸣, 化永朝, 等. 切换拓扑下异构无人集群编队-合围跟踪控制[J]. 航空学报202344(2): 326504.
  WEI Z Q, WENG Z M, HUA Y Z, et al. Formation-containment tracking control for heterogeneous unmanned swarm systems with switching topologies[J]. Acta Aeronautica et Astronautica Sinica202344(2): 326504 (in Chinese).
25 JIA C, LIU X H, LI X Y, et al. A new adaptive predefined time sliding mode control for nonlinear systems[J]. IEEE Transactions on Circuits and Systems II: Express Briefs202471(4): 2094-2098.
Outlines

/