scholarly journals Trajectory tracking control of unmanned surface vessels with input saturation and full-state constraints

2018 ◽  
Vol 15 (5) ◽  
pp. 172988141880811 ◽  
Author(s):  
Hongde Qin ◽  
Chengpeng Li ◽  
Yanchao Sun ◽  
Zhongchao Deng ◽  
Yuhan Liu
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
State Constraints ◽  
Input Saturation ◽  
Adaptive Method ◽  
Trajectory Tracking Control ◽  
Control Approach ◽  
Surface Vessels ◽  
Full State ◽  
Full State Constraints

This article investigates the trajectory tracking control problem for unmanned surface vessels with input saturation and full-state constraints. The barrier Lyapunov function is used to solve the problem of state constraints, and the adaptive method is employed to handle the unknown random disturbances and saturation problems. The proposed control approach can guarantee that the control law and signals of closed-loop system are uniformly bounded and achieve the asymptotic tracking. Finally, simulation studies are provided to show the effectiveness of the proposed method.

scholarly journals Tracking Control With Input Saturation and Full-State Constraints for Surface Vessels

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 144741-144755 ◽  
Author(s):  
Yuanhui Wang ◽  
Xiyun Jiang ◽  
Wenchao She ◽  
Fuguang Ding
Keyword(s):  
Tracking Control ◽  
State Constraints ◽  
Input Saturation ◽  
Surface Vessels ◽  
Full State ◽  
Full State Constraints

scholarly journals Distributed Robust Tracking Control for Multiple Euler–lagrange Systems With Full-state Constraints and Input Saturation via Event-triggered Control

2021 ◽  
Author(s):  
Haitao liu ◽  
Guangshuo Du ◽  
Xuehong Tian ◽  
Lanping Zou
Keyword(s):  
Tracking Control ◽  
State Constraints ◽  
Input Saturation ◽  
Communication Delay ◽  
External Disturbances ◽  
Position Information ◽  
Delay Function ◽  
Full State ◽  
Full State Constraints ◽  
Event Triggered

Abstract In this paper, the issue of distributed tracking control is studied for multiple Euler–Lagrange systems in presence of external disturbances and input saturation. Specifically, the full-state constraints, input saturation, communication delay, and unmeasured velocity are also considered simultaneously. Firstly, an adaptive distributed state observer is introduced to obtain the leader's time-varying position information, at the same time, a delay function is employed to compensate the communication delay. Moreover, the event-triggered control scheme is developed to reduce communication source and computation load, and the anti-saturation compensation algorithm is exploited to compensate for the influence of system saturation. Thirdly, an adaptive law is designed to offset external disturbances. What’s more, the high-gain observer is used to estimate the unmeasured velocities. Theorem analysis shows that the system errors can converge to zero. Finally, numerical simulations are present to verify the effectiveness of the proposed control strategy.

Event-triggered reset trajectory tracking control for unmanned surface vessel system

2020 ◽  
pp. 095965182095327
Author(s):  
Haoping Wang ◽  
Shuyu Zhang
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
Input Saturation ◽  
Lyapunov Stability Theory ◽  
Trajectory Tracking Control ◽  
Nonlinear Disturbance Observer ◽  
Surface Vessels ◽  
Unmanned Surface Vessel ◽  
Reset Control ◽  
Event Triggered

This article considers the trajectory tracking control for unmanned surface vessels with unknown time-variant external disturbances and input saturation. The strategy mainly consists of event-triggered reset sub-controller and nonlinear disturbance observer–based compensation sub-controller. To reduce network transmissions, and in the meanwhile, guarantee the desirable closed-loop behavior, the event-triggered reset control is proposed where the reset law and the event-triggered mechanism are designed separately. Both of static and dynamic event-triggered reset controllers are designed. Their corresponding stability is demonstrated using Lyapunov stability theory. Finally, numerical simulation results are presented to demonstrate the effectiveness and robustness of the proposed trajectory tracking control strategy.

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