Abstract:Field trials of a 4 meter long, 180 kilogram, unmanned surface vehicle (USV) have been conducted to evaluate the performance of station-keeping heading and position controllers in an outdoor marine environment disturbed by wind and current. The USV has a twin hull configuration and a custom-designed propulsion system, which consists of two azimuthing thrusters, one for each hull. Nonlinear proportional derivative, backstepping and sliding mode feedback controllers were tested in winds of about 4-5 knots, with … Show more
“…Partial functions have achieved (Yoo, B., & Kim, J., 2016;Sarda, E. I., et al, 2016;Song, R., et al, 2017;Ma, Y., et al, 2018;Singh, Y. et al, 2018;Wang, N., et al, 2019) Level six…”
The essence of the path planning problems is multi-modality constraint. However, most of the current literature has not mentioned this issue. This paper introduces the research progress of path planning based on the multi-modality constraint. The path planning of multi-modality constraint research can be classified into three stages in terms of its basic ingredients (such as shape, kinematics and dynamics et al.): Route Planning, Trajectory Planning and Motion Planning. It then reviews the research methods and classical algorithms, especially those applied to the Unmanned Surface Vehicle (USV) in every stage. Finally, the paper points out some existing problems in every stage and suggestions for future research.
“…Partial functions have achieved (Yoo, B., & Kim, J., 2016;Sarda, E. I., et al, 2016;Song, R., et al, 2017;Ma, Y., et al, 2018;Singh, Y. et al, 2018;Wang, N., et al, 2019) Level six…”
The essence of the path planning problems is multi-modality constraint. However, most of the current literature has not mentioned this issue. This paper introduces the research progress of path planning based on the multi-modality constraint. The path planning of multi-modality constraint research can be classified into three stages in terms of its basic ingredients (such as shape, kinematics and dynamics et al.): Route Planning, Trajectory Planning and Motion Planning. It then reviews the research methods and classical algorithms, especially those applied to the Unmanned Surface Vehicle (USV) in every stage. Finally, the paper points out some existing problems in every stage and suggestions for future research.
“…In [7], an advanced adaptive observer based ship dynamic positioning backstepping is proposed, and the bias term is used to represent slow-varying disturbances and unmodeled dynamic. In [8], the backstepping is proposed to design station-keeping controllers of unmanned surface vehicle, and favorable results are obtained in the actual marine control system. In [9], the backstepping method is also adopted to design controller for under-actuated ships with input saturation, achieving global stability tracking.…”
This paper presents an improved adaptive backstepping control method based on uncertain parameters of ship model to design the ship course controller. The K-class function is introduced into every step of the virtual function design to ensure the stability of the closed-loop system and accelerate the convergence speed of the system state variables. Simulation results show that IAB control method is more superior than the traditional adaptive backstepping control method.
“…Works like [6] develop LQR controllers and observers for this station-keeping task. Other works like [7] present the implementation of various controllers for the station-keeping problem of a USV under environmental perturbations; the dynamic of the perturbations is not considered in the model of the USV; however, they include a wind feed-forward control for counteracting the effects. In [8] an antidisturbance controller based on a disturbance observer (DO) is developed and tested through simulations and comparisons; the proposed method can be used for different scenarios and control tasks.…”
This work addresses one of the most common problems for mobile robotics (autonomous navigation) but is applied to the dynamical model of a catamaran of small dimensions for monitoring and data acquisition applications. In this work, we present the study of the dynamics of a USV (Unmanned Surface Vehicle) under the presence of two simulated environmental perturbations: marine induced waves and currents. The mathematical model of the vehicle is studied and the equations that describe the behavior of environmental perturbations are also described. A numerical simulation of the model considering the effects of these perturbations is carried out in three degrees of freedom. Also, a strategy of robust control-based Sliding Mode Control (SMC) is developed for counteracting the effects of the perturbations over the trajectory of the USV.
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