A novel asymmetrical integral barrier Lyapunov function-based trajectory tracking control for hovercraft with multiple constraints

被引:19
|
作者
Fu, Mingyu [1 ]
Dong, Lijing [1 ]
Xu, Yujie [1 ]
Dan, Bai [1 ]
机构
[1] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Hovercraft; Asymmetrical integral BLF; Trajectory tracking; State constraint; EXTENDED STATE OBSERVER; AIR-CUSHION VEHICLE; NONLINEAR-SYSTEMS; INPUT SATURATION; SURFACE VEHICLES; ADAPTIVE-CONTROL; DESIGN;
D O I
10.1016/j.oceaneng.2022.112132
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 trajectory tracking control problem of a hovercraft with asymmetrical time-varying multiple state constraints in the presence of unmodeled dynamics and external disturbances. By using the four -degree-of-freedom vector mathematical model of hovercraft, an extended state observer is adopted to provide the lumped disturbance estimation. Then, the virtual surge velocity and yaw angular velocity control laws are obtained by using a regular log-type barrier Lyapunov function to stabilize the position and yaw errors. In addition, compared with the traditional symmetric integral barrier Lyapunov function, a new asymmetric integral barrier Lyapunov function is introduced to the design process in this paper to address asymmetric state constraint problems. The surge velocity and yaw angular velocity to the inside of the boundary are analyzed to guarantee the safe turning motion or performance required at high speed, and the tracking errors of the closed-loop system are ultimately uniformly bounded by using the cascade system's stability lemma. The effectiveness of the proposed control scheme is shown via numerical simulations.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Appointed-Time Integral Barrier Lyapunov Function-Based Trajectory Tracking Control for a Hovercraft with Performance Constraints
    Fu, Mingyu
    Zhang, Tan
    Ding, Fuguang
    Wang, Duansong
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (20): : 1 - 21
  • [2] A unified barrier function-based trajectory tracking control for hovercraft with asymmetric dynamic safety constraints
    Wang, Qiusu
    Fu, Mingyu
    Wang, Yuchao
    Xu, Yujie
    [J]. OCEAN ENGINEERING, 2024, 293
  • [3] Barrier Lyapunov Function-Based Adaptive Control of an Uncertain Hovercraft with Position and Velocity Constraints
    Fu, Mingyu
    Wang, Taiqi
    Wang, Chenglong
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [4] Addressing complex state constraints in the integral barrier Lyapunov function-based adaptive tracking control
    Tian, Dongzuo
    Song, Xingyong
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2023, 96 (05) : 1202 - 1209
  • [5] Barrier Lyapunov Function-based Backstepping Control for ACV Safety Trajectory Tracking
    Fu, Mingyu
    Dong, Lijing
    Xu, Yujie
    Wang, Chenglong
    [J]. GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST, 2020,
  • [6] State-constrained control strategy for safe navigation trajectory tracking of hovercraft based on improved barrier Lyapunov function
    Wang, Yuanhui
    Wang, Xiaole
    Liu, Chong
    Zhang, Haolun
    Zhou, Hua
    Zhang, Xiaoyue
    Wang, Haibin
    [J]. OCEAN ENGINEERING, 2024, 303
  • [7] Barrier Lyapunov Function-Based Finite-Time Reliable Trajectory Tracking Control of Fixed-Wing UAV With Error Constraints
    Xu, Yiwei
    Zhou, Ruifeng
    Yu, Ziquan
    Chen, Fuyang
    Zhang, Youmin
    [J]. IFAC PAPERSONLINE, 2022, 55 (06): : 597 - 602
  • [8] Lyapunov-based model predictive control for trajectory tracking of hovercraft with actuator constraints and external disturbances
    Wang, Yuanhui
    Zhang, Haolun
    [J]. OCEAN ENGINEERING, 2024, 310
  • [9] Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems
    Liu, Lei
    Liu, Yan-Jun
    Chen, Aiqing
    Tong, Shaocheng
    Chen, C. L. Philip
    [J]. Science China Information Sciences, 2020, 63 (03):
  • [10] Integral Barrier Lyapunov function-based adaptive control for switched nonlinear systems
    Lei Liu
    Yan-Jun Liu
    Aiqing Chen
    Shaocheng Tong
    C. L. Philip Chen
    [J]. Science China Information Sciences, 2020, 63