Sign in to use this feature.

Years

Between: -

Subjects

Journals

Article Types

Countries / Regions

remove_circle_outline

Search Results (1)

Search Parameters:
Keywords = unnmanned surface vehicle

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
19 pages, 10118 KB  
Article
Model Reference Adaptive Control-Based Autonomous Berthing of an Unmanned Surface Vehicle under Environmental Disturbance
by Seungdae Baek and Joohyun Woo
Machines 2022, 10(4), 244; https://doi.org/10.3390/machines10040244 - 30 Mar 2022
Cited by 14 | Viewed by 4748
Abstract
Surface-vehicle berthing is a complex and challenging task. It involves complicated ship dynamics owing to a large drift angle and the time-varying environmental disturbances induced by wind, wave, and current. Therefore, berthing requires state processing at each step and a controller that can [...] Read more.
Surface-vehicle berthing is a complex and challenging task. It involves complicated ship dynamics owing to a large drift angle and the time-varying environmental disturbances induced by wind, wave, and current. Therefore, berthing requires state processing at each step and a controller that can respond to the non-linear behavior of the unmanned surface vehicle (USV). Herein, a systematic approach for the autonomous berthing of a USV is proposed. A state-machine approach is proposed to solve state transitions in the berthing step. A model reference adaptive controller was adopted to cope with the uncertainty of USV dynamics during berthing. Herein, the theoretical background and design of the adaptive controller are described. Simulation for the validation of the proposed method was conducted using the robot operating system Gazebo-based simulator. Finally, the respective performances of the proposed method and conventional controller were compared. Using the proposed berthing approach, an accurate and stable docking of small USVs became achievable. Full article
(This article belongs to the Section Automation and Control Systems)
Show Figures

Figure 1

Back to TopTop