Nonlinear Sliding-Mode Super-Twisting Reaching Law for Unmanned Surface Vessel Formation Control Under Coupling Deception Attacks

被引:0
作者
Wang, Yifan [1 ]
Zhang, Qiang [1 ]
Zhu, Yaping [1 ]
Hu, Yancai [1 ]
Hu, Xin [2 ]
机构
[1] Shandong Jiaotong Univ, Sch Nav & Shipping, Weihai 264209, Peoples R China
[2] Ludong Univ, Sch Math & Stat Sci, Yantai 264025, Peoples R China
基金
中国国家自然科学基金;
关键词
deception attacks; USVs; formation control; sliding-mode control; reaching law; COOPERATIVE FORMATION CONTROL; VEHICLES; TRACKING; SYSTEM; SHIPS;
D O I
10.3390/jmse13030561
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
In this paper, a nonlinear sliding-mode super-twisting reaching law algorithm is designed to address the problem of coupling interference under deception attacks and actuator physical faults in USV formations during cooperative mining operations of a USVs-ROVs system. First, a USV model with attacks and disturbances is established, and a leader-follower formation system is designed. Then, based on the reaching law, the state error dynamic chatter can be effectively solved when it is far away from and reaches the sliding surface; a nonlinear sliding super-twisting reaching law is designed to improve the chatter characteristics of the sliding surface. Furthermore, to solve the problems of low fitting accuracy regarding control anomaly information and the difficulty of fending off signal-data interference attacks, a nonlinear saturation fault-tolerant filtering mechanism and a nonlinear fitting factor are designed. Finally, the stability of the algorithm is verified through Lyapunov theory. Under the same coupling deception probability, the nonlinear sliding-mode super-twisting reaching law algorithm designed in this paper enables the leader ship and each follower ship to reach stability within about 12s, and the formation system maintains its formation while also improving the control accuracy of each individual ship.
引用
收藏
页数:26
相关论文
共 43 条
[1]   A Review of Current Research and Advances in Unmanned Surface Vehicles [J].
Bai, Xiangen ;
Li, Bohan ;
Xu, Xiaofeng ;
Xiao, Yingjie .
JOURNAL OF MARINE SCIENCE AND APPLICATION, 2022, 21 (02) :47-58
[2]   Hostile Control of Ships via False GPS Signals: Demonstration and Detection [J].
Bhatti, Jahshan ;
Humphreys, Todd E. .
NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2017, 64 (01) :51-66
[3]   Practical Fixed-Time Bipartite Synchronization of Uncertain Coupled Neural Networks Subject to Deception Attacks via Dual-Channel Event-Triggered Control [J].
Chen, Xiangyong ;
Jia, Tianyuan ;
Wang, Zhanshan ;
Xie, Xiangpeng ;
Qiu, Jianlong .
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (06) :3615-3625
[4]   Disturbance-Observer-Based Sliding Mode Control Design for Nonlinear Unmanned Surface Vessel With Uncertainties [J].
Chen, Zheng ;
Zhang, Yougong ;
Zhang, Youming ;
Nie, Yong ;
Tang, Jianzhong ;
Zhu, Shiqiang .
IEEE ACCESS, 2019, 7 :148522-148530
[5]  
Ding Lei, 2012, Control and Decision, V27, P299
[6]   An Improved Dynamic Surface Sliding Mode Method for Autonomous Cooperative Formation Control of Underactuated USVS with Complex Marine Environment Disturbances [J].
Dong, Zaopeng ;
Qi, Shijie ;
Yu, Min ;
Zhang, Zhengqi ;
Zhang, Haisheng ;
Li, Jiakang ;
Liu, Yang .
POLISH MARITIME RESEARCH, 2022, 29 (03) :47-60
[7]   Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems [J].
Du, Jun ;
Jiang, Bingqing ;
Jiang, Chunxiao ;
Shi, Yuanming ;
Han, Zhu .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2023, 41 (04) :1035-1050
[8]   A Drone-Assisted Deep Learning-Based IoT System for Monitoring Ship Emissions in Ports Considering Adversarial Attacks [J].
Elsisi, Mahmoud ;
Yu, Jin-Ting ;
Lai, Chun-Che ;
Su, Chun-Lien .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 :1-11
[9]   Systematic literature review of threat modeling and risk assessment in ship cybersecurity [J].
Erbas, Muhammed ;
Khalil, Shaymaa Mamdouh ;
Tsiopoulos, Leonidas .
OCEAN ENGINEERING, 2024, 306
[10]   Sliding-Mode Robot Control With Exponential Reaching Law [J].
Fallaha, Charles J. ;
Saad, Maarouf ;
Kanaan, Hadi Youssef ;
Al-Haddad, Kamal .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (02) :600-610