无人艇与四旋翼无人机固定时间异构编队控制

doi:10.12305/j.issn.1001-506X.2023.04.24

Abstract

Abstract:

Aiming at the formation control problem of the heterogeneous system composed of multiple quadrotor unmanned aerial vehicle and underactuated surface vessels in the presence of disturbance, the fixed time disturbance observer and the fixed time formation controller are designed. Firstly, the dynamic model of underactuated surface vessels is processed, and the unified mathematical expression of underactuated surface vessels and quadrotor unmanned aerial vehicle in the ground coordinate system is obtained. Then, aiming at the uncertain disturbance in the communication network caused by the dynamic characteristics of heterogeneous systems, the disturbance observer based on fixed time is designed for each follower. Using backstepping and fixed time stability theory, an observer-based distributed fixed time formation controller is designed for each follower to ensure that the formation state error of each follower converges in a fixed time. Finally, the feasibility of the proposed control algorithm is verified by simulation.

Key words: quadrotor unmanned aerial vehicle, underactuated surface vessels, fixed time formation control, heterogeneous system

CLC Number:

Jiaqi BAI, Yankai WANG, Hao XING. Fixed-time heterogeneous formation control of unmanned boats and quadrotor unmanned aerial vehicle[J]. Systems Engineering and Electronics, 2023, 45(4): 1152-1163.

Figures/Tables 8

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References 35

1	RAHIMI R , ABDOLLAHI F , NAQSHI K . Time-varying formation control of a collaborative heterogeneous multi agent system[J]. Robotics and Autonomous Systems, 2014, 62 (12): 1799- 1805. doi: 10.1016/j.robot.2014.07.005
2	侯岳奇, 梁晓龙, 张诺, 等. 有向通信拓扑下海上无人集群分布式编队控制[J]. 中国舰船研究, 2021, 16 (6): 1- 9. 1-9, 33
	HOU Y Q , LIANG X L , ZHANG N , et al. Distributed formation control for swarms of unmanned marine vehicle with directed interaction topology[J]. Chinese Journal of Ship Research, 2021, 16 (6): 1- 9. 1-9, 33
3	LIU Z X , ZHANG Y M , YU X , et al. Unmanned surface vehicles: An overview of developments and challenges[J]. Annual Reviews in Control, 2016, 41, 71- 93. doi: 10.1016/j.arcontrol.2016.04.018
4	PIGATTO D F , GONÇALVES L , ROBERTO G F , et al. The HAMSTER data communication architecture for unmanned aerial, ground and aquatic systems[J]. Journal of Intelligent & Robotic Systems, 2016, 84 (1): 705- 723.
5	YOON S , DO H , KIM J . Collaborative mission and route planning of multi-vehicle systems for autonomous search in marine environment[J]. International Journal of Control, Automation and Systems, 2020, 18 (3): 546- 555. doi: 10.1007/s12555-019-0666-4
6	张卫东, 刘笑成, 韩鹏. 水上无人系统研究进展及其面临的挑战[J]. 自动化学报, 2020, 46 (5): 847- 857.
	ZHANG W D , LIU X C , HAN P . Progress and challenges of overwater unmanned systems[J]. Acta Automatica Sinica, 2020, 46 (5): 847- 857.
7	LIU Z W , HOU H , WANG Y W . Formation-containment control of multiple underactuated surface vessels with sampling communication via hierarchical sliding mode approach[J]. ISA Transactions, 2022, 124, 458- 467. doi: 10.1016/j.isatra.2019.12.003
8	ELHAKI O , SHOJAEI K . Robust saturated dynamic surface controller design for underactuated fast surface vessels including actuator dynamics[J]. Ocean Engineering, 2021, 229, 108987. doi: 10.1016/j.oceaneng.2021.108987
9	HE S , DONG C , DAI S L . Adaptive neural formation control for underactuated unmanned surface vehicles with collision and connectivity constraints[J]. Ocean Engineering, 2021, 226, 108834. doi: 10.1016/j.oceaneng.2021.108834
10	HUANG B , SONG S , ZHU C , et al. Finite-time distributed formation control for multiple unmanned surface vehicles with input saturation[J]. Ocean Engineering, 2021, 233, 109158. doi: 10.1016/j.oceaneng.2021.109158
11	HUANG C F , ZHANG X K , ZHANG G Q , et al. Robust practical fixed-time leader-follower formation control for underactuated autonomous surface vessels using event-triggered mechanism[J]. Ocean Engineering, 2021, 233, 109026. doi: 10.1016/j.oceaneng.2021.109026
12	WANG B , ASHRAFIUON H , NERSESOV S . Leader-follower formation stabilization and tracking control for heterogeneous planar underactuated vehicle networks[J]. Systems & Control Letters, 2021, 156, 105008.
13	QIU H X , DUAN H B . Multiple UAV distributed close formation control based on in-flight leadership hierarchies of pigeon flocks[J]. Aerospace Science and Technology, 2017, 70, 471- 486. doi: 10.1016/j.ast.2017.08.030
14	HE L L , BAI P , LIANG X L , et al. Feedback formation control of UAV swarm with multiple implicit leaders[J]. Aerospace Science and Technology, 2018, 72, 327- 334. doi: 10.1016/j.ast.2017.11.020
15	ZOU Y , ZHOU Z Q , DONG X W , et al. Distributed formation control for multiple vertical takeoff and landing UAVs with switching topologies[J]. IEEE/ASME Trans.on Mechatronics, 2018, 23 (4): 1750- 1761. doi: 10.1109/TMECH.2018.2844306
16	LIU H , MA T , LEWIS F L , et al. Robust formation control for multiple quadrotors with nonlinearities and disturbances[J]. IEEE Trans.on Cybernetics, 2018, 50 (4): 1362- 1371.
17	YANG X K , WANG W , HUANG P . Distributed optimal consensus with obstacle avoidance algorithm of mixed-order UAVs-USVs-UUVs systems[J]. ISA Transactions, 2020, 107, 270- 286. doi: 10.1016/j.isatra.2020.07.028
18	LI H Y , LI X . Distributed consensus of heterogeneous linear time-varying systems on UAVs-USVs coordination[J]. IEEE Trans.on Circuits and Systems Ⅱ: Express Briefs, 2019, 67 (7): 1264- 1268.
19	HUANG D P , LI H Y , LI X . Formation of generic UAVs-USVs system under distributed model predictive control scheme[J]. IEEE Trans.on Circuits and Systems Ⅱ: Express Briefs, 2020, 67 (12): 3123- 3127. doi: 10.1109/TCSII.2020.2983096
20	FU J J , WEN G H , YU W W , et al. Finite-time consensus for second-order multi-agent systems with input saturation[J]. IEEE Trans.on Circuits and Systems Ⅱ: Express Briefs, 2017, 65 (11): 1758- 1762.
21	VAN M , MAVROVOUNIOTIS M , GE S S . An adaptive backstepping nonsingular fast terminal sliding mode control for robust fault tolerant control of robot manipulators[J]. IEEE Trans.on Systems, Man, and Cybernetics: Systems, 2018, 49 (7): 1448- 1458.
22	LIU Y , YANG G H . Fixed-time fault-tolerant consensus control for multi-agent systems with mismatched disturbances[J]. Neurocomputing, 2019, 366, 154- 160. doi: 10.1016/j.neucom.2019.07.093
23	POLYAKOV A . Nonlinear feedback design for fixed-time stabilization of linear control systems[J]. IEEE Trans.on Automatic Control, 2011, 57 (8): 2106- 2110.
24	LIU J , ZHANG Y L , SUN C Y , et al. Fixed-time consensus of multi-agent systems with input delay and uncertain disturbances via event-triggered control[J]. Information Sciences, 2019, 480, 261- 272. doi: 10.1016/j.ins.2018.12.037
25	WANG C Y , WEN G G , PENG Z X , et al. Integral sliding-mode fixed-time consensus tracking for second-order non-linear and time delay multi-agent systems[J]. Journal of the Franklin Institute, 2019, 356 (6): 3692- 3710. doi: 10.1016/j.jfranklin.2019.01.047
26	DU H B , WEN G H , WU D , et al. Distributed fixed-time consensus for nonlinear heterogeneous multi-agent systems[J]. Automatica, 2020, 113, 108797. doi: 10.1016/j.automatica.2019.108797
27	LI G F , WU Y J , LIU X C . Adaptive fixed-time consensus tracking control method for second-order multi-agent systems with disturbances[J]. Journal of the Franklin Institute, 2020, 357 (3): 1516- 1531. doi: 10.1016/j.jfranklin.2019.10.035
28	ZHANG B, WANG D L, WANG J C. Formation control for multiple heterogeneous unmanned aerial vehicles and unmanned surface vessels system[C]//Proc. of the Chinese Automation Congress, 2019.
29	FOSSEN T I . Marine control systems: guidance, navigation, and control of ships, rigs and underwater vehicles[M]. Norway: Marine Cybernetics, 2002.
30	CHENG W L , ZHANG K , JIANG B , et al. Fixed-time fault-tolerant formation control for heterogeneous multi-agent systems with parameter uncertainties and disturbances[J]. IEEE Trans.on Circuits and Systems I: Regular Papers, 2021, 68 (5): 2121- 2133. doi: 10.1109/TCSI.2021.3061386
31	YU X , LI P , ZHANG Y M . The design of fixed-time observer and finite-time fault-tolerant control for hypersonic gliding vehicles[J]. IEEE Trans.on Industrial Electronics, 2017, 65 (5): 4135- 4144.
32	MA D L , XIA Y Q , SHEN G H , et al. Practical fixed-time disturbance rejection control for quadrotor attitude tracking[J]. IEEE Trans.on Industrial Electronics, 2020, 68 (8): 7274- 7283.
33	DONG W . Cooperative control of underactuated surface vessels[J]. IET Control Theory & Applications, 2010, 4 (9): 1569- 1580.
34	WEI X Y , YU W W , WANG H , et al. An observer-based fixed-time consensus control for second-order multi-agent systems with disturbances[J]. IEEE Trans.on Circuits and Systems Ⅱ: Express Briefs, 2018, 66 (2): 247- 251.
35	SONG Y D , HE L , ZHANG D , et al. Neuroadaptive fault-tolerant control of quadrotor UAVs: a more affordable solution[J]. IEEE Trans.on Neural Networks and Learning Systems, 2018, 30 (7): 1975- 1983.

[1]	Wenqi YANG, Jianhua LU, Xu JIANG, Yuanxin WANG. Design of quadrotor attitude active disturbance rejection controller based on improved ESO [J]. Systems Engineering and Electronics, 2022, 44(12): 3792-3799.
[2]	SHEN Zhipeng, CAO Xiaoming. Extended state observer based dynamic surface output feedback control for quadrotor UAV trajectory tracking with input constraints#br# [J]. Systems Engineering and Electronics, 2018, 40(12): 2766-2774.
[3]	SONG Tie-niu, LIN Ting-yu, CHAI Xu-dong, QU Hui-yang, LI Tan, GU Mu. Unified modeling method of complex heterogeneous systems for simulation-based acquisition [J]. Journal of Systems Engineering and Electronics, 2012, 34(10): 2075-2083.

Fixed-time heterogeneous formation control of unmanned boats and quadrotor unmanned aerial vehicle

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