Advanced Research in Sustainable and Intelligent Navigation Control Systems for Marine Vehicles

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: closed (10 August 2024) | Viewed by 2440

Special Issue Editors


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Guest Editor
Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genova, Genoa, Italy
Interests: control optimization; dynamic positioning system; vessel motion control; marine system identification; marine system simulation; unconventional marine propellers; control synthesis with actuator saturations
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Department of Unmanned Vehicle Engineering, Sejong University, Seoul 05000, Republic of Korea
Interests: system dynamics; mechatronics; underwater vehicles; automation and robotics; trajectory tracking; path planning; multi-body dynamic modeling, intelligent navigation, autonomous vehicles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, autonomous vehicles have been increasingly used in a wide array of applications due to their great adaptability and the availability of several systems capable of accomplishing complex targets such as collision avoidance, track-keeping, target tracking, auto-berthing, and path planning. However, these systems have not yet been adequately integrated into the maritime field. It is hypothesized that the introduction of smart technologies onboard and the possible adoption of new ship designs for these vehicles will have a potential positive impact on the energy efficiency process, thereby further improving safety and relieving humans of repetitive tasks that can lead to high accounts of error. Unfortunately, the feasibility of integrating such large-scale systems into the main bridge control interface as decision support or command advice, and the advantages associated with energy preservation, is not yet clear.

Therefore, this Special Issue of the Journal of Marine Science and Engineering (JMSE) titled ‘Development of Sustainable and Intelligent Navigation Control Systems for Marine Vehicles’ invites submissions of original research articles and reviews that underscore the novelties in the methodologies of developing integrated and collaborative navigation systems, highlight the impact of these systems on energy consumption and energy efficiency, as well as state the associated challenges.

Potential topics of interest include, but are not limited to, the following:

  • Ship, autonomous surface vehicles (ASVs), unmanned surface vehicles (USVs), autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), unmanned underwater vehicles (UUVs), and underwater gliders;
  • Swarms of unmanned vehicles, multiple vehicle mission control and planning, and cooperative surface and underwater vehicles;
  • Guidance, navigation and path planning;
  • Kinematics and vehicle dynamics;
  • Sensor and actuator systems;
  • Power system operation;
  • Vehicle model tests, applications, case studies, field trials, and experimental results for propulsion system;
  • Control, modeling, simulation and optimization of propulsion system;
  • Path following, path planning, trajectory planning, and automatic collision avoidance;
  • Applications of artificial intelligent (AI)/machine learning (ML) in autonomous marine networks;
  • Machine learning methods for marine robotics;
  • Intelligent and adaptive control architectures;
  • Cooperative control and navigation in multi-unmanned systems;
  • Fault diagnosis and fault tolerance;
  • Automation system and energy integration;
  • Docking and charging stations;
  • Propulsion system;
  • Thruster allocation;
  • Software and hardware-in-the-loop simulation.

We look forward to receiving your valuable submissions.

Dr. Silvia Donnarumma
Dr. Mai The Vu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vessel motion control
  • path and trajectory planning
  • cooperative path planning
  • marine autonomous surface vessel (MASS)
  • autonomous underwater vehicle
  • control optimization
  • autonomous ship
  • autonomous
  • control allocation
  • cooperative motion control
  • integrated systems
  • support decision system
  • energy efficient
  • sustainability

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Published Papers (3 papers)

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Research

18 pages, 641 KiB  
Article
Distributed Estimator-Based Containment Control for Multi-AUV Systems Subject to Input Saturation and Unknown Disturbance
by Liangang Yin, Zheping Yan and Jian Xu
J. Mar. Sci. Eng. 2024, 12(7), 1200; https://doi.org/10.3390/jmse12071200 - 17 Jul 2024
Viewed by 343
Abstract
This article addresses the containment control issue for multi-AUV systems with the intervention of both external disturbance and input saturation. Firstly, a distributed estimator is established for the sake of acquiring precise estimation information of the desired position and its derivative for each [...] Read more.
This article addresses the containment control issue for multi-AUV systems with the intervention of both external disturbance and input saturation. Firstly, a distributed estimator is established for the sake of acquiring precise estimation information of the desired position and its derivative for each follower AUV in the system. Next, on the basis of the proposed distributed estimator, a virtual control law is designed for each follower AUV. Then, due to the difficulty in obtaining accurate information about the derivative of the virtual control law, a linear tracking differentiator is introduced. Additionally, a disturbance observer is employed to tackle the composite disturbance, which mainly contains the internal model uncertainties and external bounded disturbances. Meanwhile, the issue of input saturation is handled by constructing the auxiliary system. Furthermore, a containment control law is designed with the assistance of the introduced linear tracking differentiator, the established disturbance observer, and the constructed auxiliary system. Additionally, the Lyapunov stability theory is applied to analyze the stability of the multi-AUV system. Finally, simulation results are given to confirm the feasibility of the proposed containment control scheme. Full article
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21 pages, 12567 KiB  
Article
Research and Application of Panoramic Visual Perception-Assisted Navigation Technology for Ships
by Chiming Wang, Xiaocong Cai, Yanan Li, Runxuan Zhai, Rongjiong Wu, Shunzhi Zhu, Liangqing Guan, Zhiqiang Luo, Shengchao Zhang and Jianfeng Zhang
J. Mar. Sci. Eng. 2024, 12(7), 1042; https://doi.org/10.3390/jmse12071042 - 21 Jun 2024
Viewed by 524
Abstract
In response to challenges such as narrow visibility for ship navigators, limited field of view from a single camera, and complex maritime environments, this study proposes panoramic visual perception-assisted navigation technology. The approach includes introducing a region-of-interest search method based on SSIM and [...] Read more.
In response to challenges such as narrow visibility for ship navigators, limited field of view from a single camera, and complex maritime environments, this study proposes panoramic visual perception-assisted navigation technology. The approach includes introducing a region-of-interest search method based on SSIM and an elliptical weighted fusion method, culminating in the development of the ship panoramic visual stitching algorithm SSIM-EW. Additionally, the YOLOv8s model is improved by increasing the size of the detection head, introducing GhostNet, and replacing the regression loss function with the WIoU loss function, and a perception model yolov8-SGW for sea target detection is proposed. The experimental results demonstrate that the SSIM-EW algorithm achieves the highest PSNR indicator of 25.736, which can effectively reduce the stitching traces and significantly improve the stitching quality of panoramic images. Compared to the baseline model, the YOLOv8-SGW model shows improvements in the P, R, and mAP50 of 1.5%, 4.3%, and 2.3%, respectively, its mAP50 is significantly higher than that of other target detection models, and the detection ability of small targets at sea has been significantly improved. Implementing these algorithms in tugboat operations at ports enhances the fields of view of navigators, allowing for the identification of targets missed by AISs and radar systems, thus ensuring operational safety and advancing the level of vessel intelligence. Full article
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20 pages, 3462 KiB  
Article
Analytical Solution of Time-Optimal Trajectory for Heaving Dynamics of Hybrid Underwater Gliders
by Mai The Vu, Seong Han Kim, Van P. Nguyen, Nguyen Xuan-Mung, Jiafeng Huang, Dong-Wook Jung and Hyeung-Sik Choi
J. Mar. Sci. Eng. 2023, 11(12), 2216; https://doi.org/10.3390/jmse11122216 - 22 Nov 2023
Viewed by 999
Abstract
Underwater vehicles have capacity limits for control inputs, within which their time-optimal trajectories (TOTs) can be formulated. In this study, the fastest trajectory for the depth control of a hybrid underwater glider (HUG) was found using buoyancy engines and propellers individually, and the [...] Read more.
Underwater vehicles have capacity limits for control inputs, within which their time-optimal trajectories (TOTs) can be formulated. In this study, the fastest trajectory for the depth control of a hybrid underwater glider (HUG) was found using buoyancy engines and propellers individually, and the decoupled heave dynamics of the HUG were defined using quadratic hydrodynamic damping. Because buoyancy engines always run at slow speeds, the buoyancy force was formulated based on the constant force rate of the engine. It was assumed that the nominal value of the heave dynamics parameters could be estimated; therefore, the analytical solution of heave dynamics could be formulated using the thrusting saturation and constant buoyancy force rate. Then, the shortest trajectory for depth control of the HUG could be established while considering the actuator saturation. To verify the effectiveness of the TOT in HUG heave dynamics, extensive tracking control simulations following the TOT were conducted. It was found that the proposed TOT helps the HUG reach the desired depth in the shortest arrival time, and its robust depth control showed good tracking performance in the presence of external bounded disturbances. Full article
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