Safe cooperative path following with relative-angle-based collision avoidance for multiple underactuated autonomous surface vehicles

被引:9
作者
Liu, Lu [1 ]
Xu, Yanping [1 ]
Huang, Zipeng [1 ]
Wang, Haoliang [2 ]
Wang, Anqing [1 ]
机构
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Peoples R China
[2] Dalian Maritime Univ, Sch Marine Engn, Dalian 116026, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Safe cooperative path following; Collision avoidance; Autonomous surface vehicles; Static and dynamic obstacles; UNCERTAIN NONLINEAR-SYSTEMS; EXTENDED STATE OBSERVER; NEURAL-NETWORK CONTROL; PRESCRIBED PERFORMANCE; TRACKING CONTROL; BACKSTEPPING CONTROL; UNDERWATER VEHICLES; CONTAINMENT CONTROL; INPUT SATURATION; ADAPTIVE-CONTROL;
D O I
10.1016/j.oceaneng.2022.111670
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 addresses the safe cooperative path following for multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles. The positions and velocities of the obstacles are unknown, and only the relative angle is measured. The ASVs are subject to uncertain kinetics and unknown disturbances induced by wind, waves and currents. Switching cooperative guidance laws with collision avoidance are designed at the kinematic level, and a collision avoidance strategy based on the relative angle is introduced into the desired yaw rate design. A smooth switch between the cooperative path following and the collision avoidance is achieved by using an exponential-function-based weighted coefficient. At the kinetic level, nonlinear switching extended state observers (NSESOs) based on fractional power functions are developed to estimate the model uncertainties and environmental disturbances. Anti-disturbance kinetic control laws are designed based on the nonlinear switching extended state observers and finite-time convergent differentiators. A salient feature of the proposed cooperative path following method is that both the static and dynamic obstacles can be avoided by using the relative angle only. Through theoretical analysis, it is proven that the closed-loop system is input-to-state stable, and a safe distance can be maintained between the ASVs and the obstacles. Simulation and hardware-in-loop (HIL) experiment results are given to substantiate the effectiveness of the proposed safe cooperative path following control method for multiple ASVs based on relative angles.
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页数:15
相关论文
共 84 条
  • [11] Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities (vol 64, pg 6785, 2017)
    Cui, Rongxin
    Chen, Lepeng
    Yang, Chenguang
    Chen, Mou
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (10) : 8279 - 8280
  • [12] Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
    Cui, Rongxin
    Yang, Chenguang
    Li, Yang
    Sharma, Sanjay
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (06): : 1019 - 1029
  • [13] Adaptive sliding-mode attitude control for autonomous underwater vehicles with input nonlinearities
    Cui, Rongxin
    Zhang, Xin
    Cui, Dong
    [J]. OCEAN ENGINEERING, 2016, 123 : 45 - 54
  • [14] Synchronization of multiple autonomous underwater vehicles without velocity measurements
    Cui RongXin
    Yan WeiSheng
    Xu DeMin
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2012, 55 (07) : 1693 - 1703
  • [15] Adaptive Leader-Follower Formation Control of Underactuated Surface Vehicles With Guaranteed Performance
    Dai, Shi-Lu
    He, Shude
    Cai, He
    Yang, Chenguang
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (03): : 1997 - 2008
  • [16] Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees
    Dai, Shi-Lu
    He, Shude
    Wang, Min
    Yuan, Chengzhi
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (12) : 3686 - 3698
  • [17] Platoon Formation Control With Prescribed Performance Guarantees for USVs
    Dai, Shi-Lu
    He, Shude
    Lin, Hai
    Wang, Cong
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (05) : 4237 - 4246
  • [18] Practical formation control of multiple underactuated ships with limited sensing ranges
    Do, K. D.
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2011, 59 (06) : 457 - 471
  • [19] Fossen T. I., 2011, Handbook of Marine Craft Hydrodynamics and Motion Control
  • [20] Finite-time extended state observer-based distributed formation control for marine surface vehicles with input saturation and disturbances
    Fu, Mingyu
    Yu, Lingling
    [J]. OCEAN ENGINEERING, 2018, 159 : 219 - 227