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Journal : International Conference on Maritime Technology and Its Application

Orientation Holding Control for Autonomous Surface Vehicles using Adaptive Neuro-Fuzzy Inference System Method Dimas Prostovani Riananda; Nurahmad Hadi Cahyadi; Zindhu Maulana Ahmad Putra; Joko Endrasmono; Ryan Yudha Adhitya; Agus Khumaidi
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.2

Abstract

The completion of autonomous surface vehicle water missions is required to have adaptive capabilities in maintaining the position, attitude or tilt, and stability of the ship against the influence of external disturbances that can interfere with the ASV's navigation system. Therefore, this research focuses on the orientation holding control system against external disturbances. To determine the value of the angular shift or tilt of the ship's facing direction using the CMPS14 sensor. The control method used to determine the ship's propulsion response in determining the speed based on the heading error value and the amount of rotation speed through the bow thruster in maintaining the ship's heading using the ANFIS (Adaptive Neuro-Fuzzy Inference System) Method. The ANFIS model that has been made for predicting the value has an RMSE value of 1.6169% which is then implemented on a microcontroller with conversion and has an accuracy value of 99,6%. In testing the performance of the ship orientation control system by giving 10 variations of disturbance shows an average response time of 5.08 seconds. So that the application of the ANFIS method in this control system has good performance and can be used as a reference for further research.
Localization Tracking for Autonomous Surface Vehicles Using You Only Look Once version 5 in ROS Gazebo Simulator Zindhu Maulana Ahmad Putra; Anugerah Ekha Gusti Audryadmaja; Joko Endrasmono
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.5

Abstract

Autonomous Surface Vehicles (ASVs) have emerged as a significant research focus due to their extensive applications. A major challenge in ASV development is the rapid and accurate detection and identification of objects on the water's surface, such as buoys. This study investigates the use of YOLOv5 for buoy detection on ASVs, focusing on path localization within the Robot Operating System (ROS) framework. Path localization is employed to determine the vessel's route and its movement through the test path based on buoy detection. The results indicate that YOLOv5 achieved a 100% accuracy rate in detecting boundary buoys within the Gazebo simulator, a component of the ROS ecosystem. Furthermore, the ASV was able to navigate precisely along the center of the test path without colliding with the boundary buoys. This study is expected to make a significant contribution to the advancement of ASV technology.