Finite-Time Adaptive Heading Tracking Control for Surface Vehicles With Full State Constraints

In this brief, the problem of finite-time heading tracking control for surface vehicles with controller faults and full state constraints is studied. The fuzzy logical systems and command filtered backstepping method are utilized to approximate the unknown nonlinear dynamics and construct an adaptive controller, respectively. The Nussbaum function is employed to solve the unknown control direction arising in the system. The new control scheme is proposed based on barrier Lyapunov functions and finite-time control strategy. It is proved that the error between the actual heading angle and the expected one can converge to the region near the origin in a finite time without violating the full state constraints. Finally, the simulation results are presented to show the effectiveness of the proposed finite-time control scheme.

[1]  Qing-Guo Wang,et al.  Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems With Input Saturation via Improved Command-Filtered Backstepping , 2022, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[2]  Jinpeng Yu,et al.  Finite-Time Adaptive Fuzzy Tracking Control for a Class of Nonlinear Systems With Full-State Constraints , 2021, IEEE Transactions on Fuzzy Systems.

[3]  Guanghui Wen,et al.  Fast Distributed Average Tracking in Multiagent Networks: The Case With General Linear Agent Dynamics , 2020, IEEE Transactions on Control of Network Systems.

[4]  Gang Zhu,et al.  Adaptive Neural Network Stabilization Control of Underactuated Unmanned Surface Vessels With State Constraints , 2020, IEEE Access.

[5]  Ge Guo,et al.  Adaptive heading tracking control of surface vehicles with unknown control directions and full state constraints , 2019, Neurocomputing.

[6]  Xing-cheng Wang,et al.  Design of Ship Course Controller Based on Improved Adaptive Backstepping , 2019 .

[7]  Lin Zhao,et al.  Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation , 2018, IEEE Transactions on Cybernetics.

[8]  Peng Shi,et al.  Finite-time command filtered backstepping control for a class of nonlinear systems , 2018, Autom..

[9]  Yongduan Song,et al.  Fully Distributed Adaptive Consensus Control of a Class of High-Order Nonlinear Systems With a Directed Topology and Unknown Control Directions , 2018, IEEE Transactions on Cybernetics.

[10]  Gang Wang,et al.  Distributed Leaderless and Leader-Following Consensus Control of Multiple Euler-Lagrange Systems with Unknown Control Directions , 2018, J. Intell. Robotic Syst..

[11]  Shaocheng Tong,et al.  Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems With Full State Constraints , 2018, IEEE Transactions on Fuzzy Systems.

[12]  Meng Joo Er,et al.  Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System , 2016, IEEE Transactions on Cybernetics.

[13]  Wei He,et al.  Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints , 2016, IEEE Transactions on Cybernetics.

[14]  Jana Fuhrmann,et al.  Guidance And Control Of Ocean Vehicles , 2016 .

[15]  Guoqing Xia,et al.  Study of Ship Heading Control using RBF Neural Network , 2015 .

[16]  Wu Xian Design of Ship Course Control System Based on Backstepping Sliding Mode , 2009 .

[17]  Zoran Vukic,et al.  Adaptive fuzzy ship autopilot for track-keeping , 2000 .

[18]  Mukhtiar Ali Unar,et al.  Automatic steering of ships using neural networks , 1999 .

[19]  Thor I. Fossen,et al.  Adaptive feedback linearization applied to steering of ships , 1992, [Proceedings 1992] The First IEEE Conference on Control Applications.

[20]  R. Nussbaum Some remarks on a conjecture in parameter adaptive control , 1983 .