“…To ensure that λ 1 is always a positive constant, the values of k 3 − 1 2 and k 4 − 1 2 should be positive. Therefore, both k 3 and k 4 should be greater than 1 2 .…”
Section: Remark A1mentioning
confidence: 99%
“…An unmanned surface vehicle (USV) is a kind of autonomous waterborne platform that can autonomously complete tasks, such as environmental perception and target detection, and has autonomous identification, autonomous planning, and autonomous navigation capabilities [1][2][3]. It has the advantages of small size, low cost, good maneuverability, and no casualties [4].…”
An effective path-following controller is a guarantee for stable sailing of underactuated unmanned surface vehicles (USVs). This paper proposes an event-triggered robust control approach considering an unknown model nonlinearity, external disturbance, and event-triggered mechanism. The proposed method consists of guidance and dynamic control subsystems. Based on the tracking error dynamics equations, the guidance subsystem is designed to achieve the guidance law. For the dynamic control subsystem, the radial basis function neural networks (RBFNNs) are designed to approximate the unknown model nonlinearity and external disturbances to improve the robustness of the proposed method. In addition, an event-triggered mechanism is constructed to reduce the triggering times. The closed-loop system is proven to be stable, and the effectiveness of the proposed method is illustrated through simulation results.
“…To ensure that λ 1 is always a positive constant, the values of k 3 − 1 2 and k 4 − 1 2 should be positive. Therefore, both k 3 and k 4 should be greater than 1 2 .…”
Section: Remark A1mentioning
confidence: 99%
“…An unmanned surface vehicle (USV) is a kind of autonomous waterborne platform that can autonomously complete tasks, such as environmental perception and target detection, and has autonomous identification, autonomous planning, and autonomous navigation capabilities [1][2][3]. It has the advantages of small size, low cost, good maneuverability, and no casualties [4].…”
An effective path-following controller is a guarantee for stable sailing of underactuated unmanned surface vehicles (USVs). This paper proposes an event-triggered robust control approach considering an unknown model nonlinearity, external disturbance, and event-triggered mechanism. The proposed method consists of guidance and dynamic control subsystems. Based on the tracking error dynamics equations, the guidance subsystem is designed to achieve the guidance law. For the dynamic control subsystem, the radial basis function neural networks (RBFNNs) are designed to approximate the unknown model nonlinearity and external disturbances to improve the robustness of the proposed method. In addition, an event-triggered mechanism is constructed to reduce the triggering times. The closed-loop system is proven to be stable, and the effectiveness of the proposed method is illustrated through simulation results.
“…A promising solution for trestle erection is the collaboration of multiple unmanned surface platforms to enable formation navigation and cluster aggregation. [3][4][5][6] Therefore, an unmanned water-surface expandable platform holds great potential as a 1 College of Information Science and Technology, Donghua University, Shanghai, China 2 direction for research. It is crucial for unmanned boats to possess high-performance single-manipulation capabilities and the ability of a single unmanned surface vehicle (USV) to undertake multiple roles within a formation.…”
Section: Introductionmentioning
confidence: 99%
“…22 TransBoat uses a magnetic-based docking system for on-water construction with wave disturbances. 5 Researchers have proposed several intriguing solutions to test the docking systems of unmanned ships. However, not all docking systems are suitable for use in real wave environments, while ensuring the strength and reliability of the connection.…”
The challenge in autonomous docking and hook locking of multiple unmanned surface navigation platforms is to design an appropriate autonomous docking controller and ensure that the electric control hook can iteratively dock with the passive vessel. The current docking control solution for unmanned surface platforms needs to design an automatic tracking–generated trajectory and visual guidance docking system, capable of detecting the connection status after the hook-lock action to ensure a successful connection. However, most of the docking control designs for unmanned surface platforms pay more attention to the first-time success rate but pay less attention to the failures caused by complex and intelligent docking devices or environmental interference during docking. This article proposes a control strategy for autonomous docking and hook locking of two unmanned surface platforms. It guides the active vessel to the side of the passive vessel under the task requirements and triggers the visual docking control algorithm to complete the mechanical connection of the two joints. This method employs an iterative detection mechanism to improve the automatic hook and lock capability of both the active and passive vessels. The indoor pool and outdoor lake experiments demonstrate that the proposed method can successfully perform automatic iterative docking and hook locking, even in the presence of wave disturbance, showcasing the effectiveness of the proposed method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.