Experience-based event-triggered path-following control for marine surface-air vehicles via a coordinated time-synchronous guidance

被引:0
作者
Xing, Yingshuo [1 ]
Zhang, Guoqing [1 ,2 ]
Li, Jiqiang [1 ]
Zhang, Xianku [1 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Liaoning, Peoples R China
[2] Hainan Univ, Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China
基金
中国国家自然科学基金;
关键词
Fuzzy logic system; USV-UAV; Dynamic surface control; Event-triggered control; NONLINEAR-SYSTEMS;
D O I
10.1016/j.oceaneng.2024.120266
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper investigates the cooperative control strategy for marine surface-air vehicles systems composed by an unmanned surface vehicle (USV) and an unmanned aerial vehicle (UAV) when facing the execution of island scanning mission. The proposed scheme consists of the coordinated time-synchronous guidance and experience based event-triggered control algorithm. To optimize the performance for executing island scanning missions, the coordinated time-synchronous guidance law is developed with considering the different maneuvering characteristics of the cooperative system. The proposed guidance law guarantees time synchronization while leveraging the advantages of high maneuverability of UAVs. Specifically, an experience based event-triggered mechanism with the adjustable threshold is designed to reduce the transmission frequency of control commands. The triggering threshold is specially designed based on an experience based mechanism to maintain satisfactory control performance. The stability of the USV-UAV system is proved via Lyapunov theorem and all signals in the cooperative system are the semi-global uniform ultimate bounded (SGUUB). Finally, two simulations are provided to evaluate the effectiveness of the proposed algorithm.
引用
收藏
页数:9
相关论文
共 39 条
[1]   Coordinated Target Assignment and UAV Path Planning with Timing Constraints [J].
Babel, Luitpold .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2019, 94 (3-4) :857-869
[2]   Automatic Leader-Follower Persistent Formation Control for Autonomous Surface Vehicles [J].
Chen, C. L. Philip ;
Yu, Dengxiu ;
Liu, Lu .
IEEE ACCESS, 2019, 7 :12146-12155
[3]  
Chen FZ, 2020, PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), P1576, DOI 10.1109/ITOEC49072.2020.9141584
[4]   Event-triggered robust fuzzy path following control for underactuated ships with input saturation [J].
Deng, Yingjie ;
Zhang, Xianku ;
Im, Namkyun ;
Zhang, Guoqing ;
Zhang, Qiang .
OCEAN ENGINEERING, 2019, 186
[5]   Practical control of underactuated ships [J].
Do, K. D. .
OCEAN ENGINEERING, 2010, 37 (13) :1111-1119
[6]   An Optimization Problem for Quadcopter Reference Flight Trajectory Generation [J].
Eliker, Karam ;
Zhang, Guoqing ;
Grouni, Said ;
Zhang, Weidong .
JOURNAL OF ADVANCED TRANSPORTATION, 2018,
[7]   Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints [J].
Gao, Tingting ;
Liu, Yan-Jun ;
Liu, Lei ;
Li, Dapeng .
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2018, 5 (05) :923-933
[8]   Event-Triggered Adaptive Fuzzy Setpoint Regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints [J].
Hu, Xin ;
Zhu, Guibing ;
Ma, Yong ;
Li, Zhixiong ;
Malekian, Reza ;
Sotelo, Miguel Angel .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) :13463-13472
[9]   Adaptive neural finite-time formation control for multiple underactuated vessels with actuator faults [J].
Huang, Chenfeng ;
Zhang, Xianku ;
Zhang, Guoqing .
OCEAN ENGINEERING, 2021, 222
[10]   Event triggered trajectory tracking control approach for fully actuated surface vessel [J].
Jiao, Jianfang ;
Wang, Guang .
NEUROCOMPUTING, 2016, 182 :267-273