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Optimal Maneuvering and Control of Ships—2nd Edition
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Optimal Maneuvering and Control of Ships—2nd Edition

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: 31 December 2024 | Viewed by 2274

Special Issue Editors

Prof. Dr. Guoqing Zhang

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Guest Editor
Navigation College, Dalian Maritime University, Dalian 116026, China
Interests: robust control; ship motion control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Weidong Zhang

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Guest Editor
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: nonlinear system; robust control; control of marine vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Haitong Xu

E-Mail Website
Guest Editor
Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Interests: autonomous ships; guidance navigation and control; nonlinear control; ship manoeuvering model; system identification method; full-scale trials and model tests
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the field of marine vehicles has borne witness to remarkable progress in the domains of maneuvering, guidance, and control. As technology continues its relentless march forward, a host of innovative techniques have surfaced, each designed to bolster the efficiency, safety, and autonomy of marine vehicles and their cooperation with other vehicles. These advancements have implications across a broad spectrum of applications, encompassing navigation, exploration, surveillance, and transportation. The purpose of this Special Issue of the Journal of Marine Science and Engineering is to provide the latest research results in the fields of the optimal maneuvering and control of ships. This Special Issue includes, but is not limited to, the following topics: marine surface vehicles, optimal maneuvering in marine environment, course keeping and path following control, cooperative control mission for multiple vehicles, dynamic positioning, and other advanced techniques in automatic navigation.

Prof. Dr. Guoqing Zhang
Prof. Dr. Weidong Zhang
Dr. Haitong Xu
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

  • optimal maneuvering of ships in marine environments
  • course keeping and path following control
  • marine surface vessels and cooperative vehicles
  • autonomous control of surface vessels and air vehicles
  • other advanced techniques in intelligent navigation

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Published Papers (3 papers)

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Research

17 pages, 1274 KiB  
Article
Concise Adaptive Fault-Tolerant Formation Scaling Control for Autonomous Vehicles with Bearing Measurements
by Yu Lu and Ruisheng Sun
J. Mar. Sci. Eng. 2024, 12(8), 1407; https://doi.org/10.3390/jmse12081407 - 16 Aug 2024
Viewed by 472
Abstract
In the bearing-based formation control of autonomous surface vehicles, the scaling maneuver capability is greatly limited when faced with actuator faults and uncertainties. Under these circumstances, to better realize the formation scaling maneuver, a concise adaptive fault-tolerant formation scaling control scheme is proposed [...] Read more.
In the bearing-based formation control of autonomous surface vehicles, the scaling maneuver capability is greatly limited when faced with actuator faults and uncertainties. Under these circumstances, to better realize the formation scaling maneuver, a concise adaptive fault-tolerant formation scaling control scheme is proposed for autonomous vehicles with bearing measurements. By means of dynamic surface control, parameter integration and the adaptive technique, the tedious derivative calculation of virtual control signals is avoided and the prescribed formation scaling maneuver is achieved without knowing specific information about the faults and models. It is shown that both yaw angle tracking errors and bearing errors are able, ultimately, to be made uniformly bounded using this scheme. Meanwhile, only one control parameter and one adaptive parameter need to be updated during the formation scaling process. Stability analysis and comparative results are provided to verify the validity of the developed scheme. Full article
(This article belongs to the Special Issue Optimal Maneuvering and Control of Ships—2nd Edition)
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24 pages, 5638 KiB  
Article
Consensus Control of Heterogeneous Uncertain Multiple Autonomous Underwater Vehicle Recovery Systems in Scenarios of Implicit Reduced Visibility
by Zixuan Li, Wei Zhang, Wenhua Wu and Yefan Shi
J. Mar. Sci. Eng. 2024, 12(8), 1332; https://doi.org/10.3390/jmse12081332 - 6 Aug 2024
Viewed by 486
Abstract
This paper investigates consensus control in heterogeneous and uncertain multiple autonomous underwater vehicle (AUV) systems under implicit reduced visibility conditions. We address challenges such as environmental uncertainties and system nonlinearity by utilizing a unified connectivity approach to model low-visibility interactions and heterogeneous multi-AUV [...] Read more.
This paper investigates consensus control in heterogeneous and uncertain multiple autonomous underwater vehicle (AUV) systems under implicit reduced visibility conditions. We address challenges such as environmental uncertainties and system nonlinearity by utilizing a unified connectivity approach to model low-visibility interactions and heterogeneous multi-AUV dynamics. Our main contributions include developing a feedback linearization model for heterogeneous multi-AUV systems that accounts for uncertainties, introducing an adaptive consensus controller based on relative positioning that effectively manages implicit visual interaction limitations and validating our strategies through stability analysis and numerical simulations. Our simulations demonstrate approximately a 60% improvement in accuracy compared to previous algorithms, highlighting the practical value of our approach in AUV recovery operations. These advancements provide a robust solution for consensus control in complex underwater environments. Full article
(This article belongs to the Special Issue Optimal Maneuvering and Control of Ships—2nd Edition)
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15 pages, 8718 KiB  
Article
Refinement of Norrbin Model via Correlations between Dimensionless Cross-Flow Coefficient and Hydrodynamic Derivatives
by Guoshuai Li, Yifan Chen, Bingzheng Yan and Xianku Zhang
J. Mar. Sci. Eng. 2024, 12(5), 752; https://doi.org/10.3390/jmse12050752 - 30 Apr 2024
Viewed by 777
Abstract
To develop a simplified and highly accurate ship motion model, this study thoroughly investigated the relationship between the dimensionless cross-flow coefficient and the four hydrodynamic derivatives of the Norrbin model. Eight different types of ships were simulated to explore the impact of dimensionless [...] Read more.
To develop a simplified and highly accurate ship motion model, this study thoroughly investigated the relationship between the dimensionless cross-flow coefficient and the four hydrodynamic derivatives of the Norrbin model. Eight different types of ships were simulated to explore the impact of dimensionless cross-flow coefficients and individual hydrodynamic derivatives on the ship’s turning circle. A set of precise formulas is proposed to depict the interplay between these variables. The simulation outcomes indicate that the average deviation in the agreement between the turning circles produced by adjusting the dimensionless cross-flow coefficient and those predicted by modifying the four hydrodynamic derivatives was only 2.70%. Furthermore, the similarities between the two circles and the sea trail were significantly higher at 91.45% and 92.87% compared with the original Norrbin model’s accuracy of 78.12%. Adjusting the dimensionless cross-flow coefficients enabled the rapid identification of a curve that closely mirrored the sea trail. This research aimed to improve the accuracy of the Norrbin model and resolve issues related to determining the magnification of the hydrodynamic derivatives, laying a robust foundation for subsequent studies and applications in relevant domains. Full article
(This article belongs to the Special Issue Optimal Maneuvering and Control of Ships—2nd Edition)
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