Three-Dimensional Path-Following Control of an Autonomous Underwater Vehicle Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Mechanical and Electronic Engineering , Dalian Minzu University , Dalian , China
2. School of Naval Architecture and Ocean Engineering , Dalian Maritime University , Dalian , China
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Mechanical Engineering,Ocean Engineering
Link
https://www.sciendo.com/pdf/10.2478/pomr-2022-0042
Reference24 articles.
1. 1. I. Stenius et al., “A System for Autonomous Seaweed Farm Inspection with an Underwater Robot,” Sensors, vol. 22, no. 13, Jul 2022, doi: 10.3390/s22135064.926977835808560
2. 2. L. Rowinski and M. Kaczmarczyk, “Evaluation of Effectiveness of Waterjet Propulsor for a Small Underwater Vehicle,” Polish Marit. Res., vol. 28, no. 4, 2022, doi: 10.2478/pomr-2021-0047.
3. 3. H. Choukri and L. Z. Qidan, “Path Following Control of Fully Actuated Autonomous Underwater Vehicle Based on LADRC,” Polish Marit. Res., vol. 25, no. 4, 2018, doi: 10.2478/pomr-2018-0130.
4. 4. L. Li, Z. Pei, J. Jin, and Y. Dai, “Control of Unmanned Surface Vehicle along the Desired Trajectory Using Improved Line of Sight and Estimated Sideslip Angle,” Polish Marit. Res., vol. 28, no. 2, 2021, doi: 10.2478/pomr-2021-0017.
5. 5. E. Vidal, N. Palomeras, M. Carreras, “Online 3D Underwater Exploration and Coverage,” in IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), Rectory Univ Porto, Porto, Portugal, 2018.10.1109/AUV.2018.8729736
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1. A Deep Reinforcement Learning-Based Path-Following Control Scheme for an Uncertain Under-Actuated Autonomous Marine Vehicle;Journal of Marine Science and Engineering;2023-09-09
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