Rehman, F;
Anderlini, E;
Thomas, G;
(2021)
Assessment of Collision Avoidance Strategies for an Underwater Transportation System.
Journal of Robotics and Control (JRC)
, 2
(5)
pp. 385-394.
10.18196/jrc.25112.
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Abstract
Transportation using multiple autonomous vehicles with detection avoidance capability is useful for military applications. It is important for such systems to avoid collisions with underwater obstacles in an effective way, while keeping track of the target location. In this paper, sensor-based and path-planning methods of external collision avoidance were investigated for an underwater transportation system. In particular, sensor-based wall-following and hard-switching collision avoidance strategies and an offline RRT* path-planning method was implemented on the simulation model of the transportation system of four Hovering Autonomous Underwater Vehicles (HAUVs). Time-domain motion simulations were performed with each method and their ability to avoid obstacles was compared. The hard-switching method resulted in high yaw moments which caused the vehicle to travel towards the goal by a longer distance. Conversely, in the wall-following method, the yaw moment was kept to zero. Moreover, the wall-following method was found to be better than the hard-switching method in terms of time and power efficiency. The comparison between the offline RRT* path-planning and wall-following methods showed that the fuel efficiency of the former is higher whilst its time efficiency is poorer. The major drawback of RRT* is that it can only avoid the previously known obstacles. In future, offline RRT* and wall following can be blended for a better solution. The outcome of this paper provides guidance for the selection of the most appropriate method for collision avoidance for an underwater transportation system.
| Type: | Article |
|---|---|
| Title: | Assessment of Collision Avoidance Strategies for an Underwater Transportation System |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18196/jrc.25112 |
| Publisher version: | https://doi.org/10.18196/jrc.25112 |
| Language: | English |
| Additional information: | © 2020 Journal of Robotics and Control (JRC). This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0/). |
| Keywords: | Autonomous Underwater Vehicle (AUV); underwater transportation; multi vehicles; sensor-based methods; path planning method; PID controller |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10127013 |
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