Improved FPTPPF-based predefined-time tracking control of a UVMS with actuator faults

被引:0
|
作者
Liu, Haitao [1 ,2 ,3 ]
Yang, Jingwei [1 ,2 ,3 ]
Tian, Xuehong [1 ,2 ,3 ]
Mai, Qingqun [1 ,2 ,3 ]
Liu, Mingxin [1 ,2 ,3 ]
机构
[1] Guangdong Ocean Univ, Sch Mech Engn, Zhanjiang 524088, Peoples R China
[2] Guangdong Engn Technol Res Ctr Ocean Equipment & M, Zhanjiang 524088, Peoples R China
[3] Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518120, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater vehicle-manipulator system; Predefined-time control; Predefined-time extended state observer; Flexible predefined-time prescribed perfor-; mance function; NONLINEAR-SYSTEMS;
D O I
10.1016/j.oceaneng.2024.119603
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 new predefined-time control scheme is proposed for the trajectory tracking problem of an underwater vehicle-mechanic system (UVMS) with external disturbances, model uncertainties and actuator faults. First, a predefined-time controller is proposed to achieve convergence in a predefined time so that the convergence time does not depend on the initial value of the system. Second, considering the possible grasping and transportation tasks for the UVMS, an improved flexible predefined-time prescribed performance function (FPTPPF) with self-adjustment capability is proposed to avoid the vulnerabilities of the existing prescribed performance functions. A control framework is constructed for the integral barrier Lyapunov function and FPTPPF, which can achieve good tracking performance. Third, a predefined-time extended state observer (ESO) is constructed to address the problems caused by external disturbances, model uncertainties and actuator faults. For strong sudden disturbances, the H infinity control strategy is designed via the backstepping method, which effectively improves the robustness. Finally, the predefined-time stability of the system is proven via Lyapunov stability theory, where the tracking errors can converge to a small region of the null domain in a predefined time. The performance and superiority of the proposed predefined-time control method are verified via simulation comparisons.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Two-Stage Predefined-Time Exact Sliding Mode Control Based on Predefined-Time Exact Disturbance Observer
    Liu, Bojun
    Ma, Wenle
    Zhang, Zhanpeng
    Yi, Yingmin
    ACTUATORS, 2024, 13 (04)
  • [42] Observer-Based Predefined-Time Adaptive Fuzzy Prescribed Performance Tracking Control for a QUAV
    Cui, Guozeng
    Zhu, Guanchao
    Gu, Juping
    Ma, Qian
    Xu, Shengyuan
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2025, 33 (02) : 789 - 798
  • [43] Predefined-time control of cooperative manipulators
    Munoz-Vazquez, Aldo Jonathan
    Sanchez-Torres, Juan Diego
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (17) : 7295 - 7306
  • [44] Predefined-time tracking control for high-order nonlinear systems with control saturation
    Gong, Youmin
    Guo, Yanning
    Li, Dongyu
    Ma, Guangfu
    Ran, Guangtao
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (11) : 6218 - 6235
  • [45] Trajectory tracking of a wheeled mobile robot based on the predefined-time sliding mode control scheme
    Cong, Shaoheng
    Wang, Zhonghua
    Li, Meng
    Jiang, Yutian
    Zhang, Ruwei
    ASIAN JOURNAL OF CONTROL, 2024, 26 (06) : 3275 - 3290
  • [46] Predefined-Time Hybrid Tracking Control for Dynamic Positioning Vessels Based on Fully Actuated Approach
    Xu, Yujie
    Wang, Yingjie
    Fu, Mingyu
    Chen, Hao
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (11)
  • [47] Predefined-time position tracking optimization control with prescribed performance of the induction motor based on observers
    Liu, Le
    Liu, Peng
    Teng, Zhaopeng
    Zhang, Lei
    Fang, Yiming
    ISA TRANSACTIONS, 2024, 147 : 187 - 201
  • [48] Predefined-time Fuzzy Output Feedback Control for Nonlinear Systems with Multiple Actuator Constraints
    Wang, Libin
    Niu, Junlong
    Wang, Wei
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2025, 27 (02) : 410 - 420
  • [49] Predefined-time Neural Sliding Mode Control Based Trajectory Tracking of Autonomous Surface Vehicle
    Xue, Han
    Li, Shulin
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN, 2023, 31 (03): : 193 - 204
  • [50] Enhanced Predefined-Time Control for Spacecraft Attitude Tracking: A Dynamic Predictive Approach
    Yang, Jinhe
    Guo, Tongjian
    Yu, Yi
    Dong, Quanliang
    Jia, Yifan
    SENSORS, 2024, 24 (16)