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Control and Optimization of Ship Propulsion System
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Control and Optimization of Ship Propulsion System

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: 20 June 2025 | Viewed by 1015

Special Issue Editor

Prof. Dr. Xin Hu

E-Mail Website
Guest Editor
School of Mathematics and Statistics Science, Ludong University, Yantai 264025, China
Interests: motion control for marine vehicles; intelligent ship control theory and technology; anti-disturbance control; optimization of ship propulsion system; sea launch ship
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Marine ships experience multiple-source disturbances on propulsion systems in practice due to marine environment disruptions induced by waves, wind, currents, structural vibration, mechanical friction, and modelling errors. These multiple-source disturbances can be divided into the external disturbances, the inner disturbances, and the modelling uncertainties, which present strong coupling effects. Coupling disturbances would affect the control effects of ship propulsion system, such that the movement performance of the ships would be degraded. Therefore, the ship propulsion systems should be controlled by advanced control and optimization schemes. The advanced motion control schemes, such as disturbance observer-based control, sliding mode control, and robust control, have been widely applied in ship propulsion systems. It should be noted that these advanced motion control schemes should be improved by optimization design procedures to enhance the anti-disturbance capability. Furthermore, the usage of optimization design procedures is helpful to develop low-cost ship propulsion systems and bring good economic benefits. This call for papers aims to provide an opportunity for researchers and practitioners to exchange the latest theoretical and technical achievements in the advanced control and optimization of ship propulsion system.

Prof. Dr. Xin Hu
Guest Editor

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

  • motion control for marine vehicles
  • intelligent ship control theory and technology
  • anti-disturbance control
  • optimization of ship propulsion system
  • sea launch ship

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Published Papers (2 papers)

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20 pages, 5582 KiB  
Article
Dual-Vector-Based Model Predictive Current Control with Online Parameter Identification for Permanent-Magnet Synchronous Motor Drives in Marine Electric Power Propulsion System
by Shengqi Huang, Yuanwei Zhang, Lei Shi, Yuqing Huang and Bin Chang
J. Mar. Sci. Eng. 2025, 13(3), 585; https://doi.org/10.3390/jmse13030585 - 17 Mar 2025
Viewed by 196
Abstract
Due to its high efficiency, reliability, and environmental benefits, the permanent-magnet synchronous motor (PMSM) is increasingly being used in marine propulsion applications. As a promising solution, finite-control-set model predictive current control (FCS-MPCC) has been gaining attention in marine propulsion systems. However, FCS-MPCC for [...] Read more.
Due to its high efficiency, reliability, and environmental benefits, the permanent-magnet synchronous motor (PMSM) is increasingly being used in marine propulsion applications. As a promising solution, finite-control-set model predictive current control (FCS-MPCC) has been gaining attention in marine propulsion systems. However, FCS-MPCC for PMSM drives applies only a single switching state within each control cycle. Moreover, its prediction model depends on motor parameters. To address this issue, a dual-vector (DV)-based MPCC (DV-MPCC) incorporating online parameter identification was proposed. Firstly, a DV-MPCC suitable for a two-phase stationary reference frame was introduced. To reduce torque ripple, the DV combination was generated based on the error current vector, and the action time was allocated in accordance with the minimum root mean square error of the current. Furthermore, a model reference adaptive system (MRAS) for multi-parameter identification was developed based on the incremental current state equation. This equation was constructed and used as an adjustable model, enabling accurate estimation of resistance and inductance parameters, even when the flux parameter was completely unknown. Additionally, the proposed method addressed the identification error caused by rank deficiency. Experimental validation confirmed the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Control and Optimization of Ship Propulsion System)
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26 pages, 2201 KiB  
Article
Nonlinear Sliding-Mode Super-Twisting Reaching Law for Unmanned Surface Vessel Formation Control Under Coupling Deception Attacks
by Yifan Wang, Qiang Zhang, Yaping Zhu, Yancai Hu and Xin Hu
J. Mar. Sci. Eng. 2025, 13(3), 561; https://doi.org/10.3390/jmse13030561 - 13 Mar 2025
Viewed by 497
Abstract
In this paper, a nonlinear sliding-mode super-twisting reaching law algorithm is designed to address the problem of coupling interference under deception attacks and actuator physical faults in USV formations during cooperative mining operations of a USVs-ROVs system. First, a USV model with attacks [...] Read more.
In this paper, a nonlinear sliding-mode super-twisting reaching law algorithm is designed to address the problem of coupling interference under deception attacks and actuator physical faults in USV formations during cooperative mining operations of a USVs-ROVs system. First, a USV model with attacks and disturbances is established, and a leader–follower formation system is designed. Then, based on the reaching law, the state error dynamic chatter can be effectively solved when it is far away from and reaches the sliding surface; a nonlinear sliding super-twisting reaching law is designed to improve the chatter characteristics of the sliding surface. Furthermore, to solve the problems of low fitting accuracy regarding control anomaly information and the difficulty of fending off signal-data interference attacks, a nonlinear saturation fault-tolerant filtering mechanism and a nonlinear fitting factor are designed. Finally, the stability of the algorithm is verified through Lyapunov theory. Under the same coupling deception probability, the nonlinear sliding-mode super-twisting reaching law algorithm designed in this paper enables the leader ship and each follower ship to reach stability within about 12s, and the formation system maintains its formation while also improving the control accuracy of each individual ship. Full article
(This article belongs to the Special Issue Control and Optimization of Ship Propulsion System)
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