State-of-the-Art Research on Motion Control of Maritime Autonomous Surface Ships

Wang, Le; Wu, Qing; Liu, Jialun; Li, Shijie; Negenborn, Rudy R.

doi:10.3390/jmse7120438

Cited by 63 publications

(31 citation statements)

References 154 publications

(187 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, Sørensen [13] and Wang et al [14] surveyed a lot of previous research materials which introduces some modern control theories to aim at improving the quality of DPs. Basically, the nonlinearity and uncertain disturbance must be taken in consideration while almost the traditional control theories are simple in structure and method, the disadvantages of these methods were that the kinetic functions of motions must be linearized under certain conditions.…”

Section: B Related Workmentioning

confidence: 99%

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Dang

Nguyen

2020

IEEE Access

View full text Add to dashboard Cite

Section: B Related Workmentioning

confidence: 99%

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Dang

Nguyen

2020

IEEE Access

View full text Add to dashboard Cite

“…External uncontrollable disturbances in the movement of cargo destabilize the loading process as well as create precedents for the negative influence of the human factor. Some works [11][12][13][14][15] present the results on improving mathematical modeling when controlling the vessel movement by automated systems.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Thus, it is expedient to conduct a study based on the combined principle of choosing a control law ranging from regulation by one-dimensional objects to optimal systems with multidimensional objects. In this regard, studies that allowed narrowing the range of control law synthesizing methods for vessel positioning were analyzed [13,14,17].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of control model for loading operations on heavy lift vessels based on inverse algorithm

Solovey¹,

Ben²,

Dudchenko³

et al. 2020

EEJET

View full text Add to dashboard Cite

The aim of the work is to develop a method for optimal control of handling operations with heavy lift cargo on sea vessels. Based on the review of scientific research in the field of loading heavy lift cargo, priority directions for improving the automated control systems for cargo handling operations on ships have been determined. Within a scientific hypothesis, it was proposed to synchronize solutions to the problem of ship propulsion control and automated control of heavy lift onboard cranes in order to improve the accuracy of loading processes. The paper analyzes the dynamic model of the "vessel-crane-cargo" system and the criteria of optimality in the problem of ship regulation-stabilization under minimization of loading time. An inverse loading algorithm has been developed, based on the principles of the loading control optimization with limiting the choice of motion by linear displacements and turns of the vessel. When executing the inverse algorithm, restrictions associated with the minimization of heeling moments in the "vessel-crane-cargo" system and restrictions associated with the maximum and minimum boom outreach are applied. The study determined the technical feasibility of achieving invariance in the cargo stabilization system with the inverse loading algorithm on heavy lift vessels. On the basis of the proposed method, simulation modeling of the ship loading process was carried out on simulators at the Kherson State Maritime Academy. The simulation modeling has shown that the use of the inverse algorithm will reduce the time of cargo operations by 50-70 percent and, as a result, reduce the risk of emergencies when loading the ship. It was also determined that the use of the inverse algorithm is appropriate for cargo of more than 100 tons

show abstract

“…Some of these problems have been discussed in Reference [22]. With great precision and direct indication of many sources describing MASS issues, as well as problems that are posed in science, are presented in Reference [23].…”

mentioning

confidence: 99%

“…Control subsystem is designed to provide the ability to move along the designated route. As it was mentioned in Reference [23], there are 4 types of control in MASS: speed control, course control, stabilization control, path-following and trajectory tracking. Speed control, separately, does not really find application in MASS because it is based on following of route.…”

mentioning

confidence: 99%

Towards the Autonomy: Control Systems for the Ship in Confined and Open Waters

Miller

Rybczak

Rak

2021

Sensors

View full text Add to dashboard Cite

The concept of the Marine Autonomous Surface Ship (MASS) requires new solutions in many areas: from law, through economics, social sciences, environmental issues to the technology and even ethics. It also plays a central role in the work of numerous research teams dealing with the ship motion control systems. This article presents the results of the experiments with application of the selected control methods in automatic steering of the movement of an autonomous ship in the two regimes: during the maneuvers at low speed (in a harbor confined waters) and during the lake trials in open water conditions. In the first case, multidimensional state controller synthesized with Linear Matrix Inequalities (LMI) algorithms was used, while, in the second case, Model Predictive Control (MPC) control was adopted. The object for which the experiments were carried out was 1:24 scale model of the Liquefied Natural Gas (LNG) carrier. The paper presents also the design of the measurement and control system and the user interface. The experiments were conducted in the natural conditions on the lake. The results of the experiments indicate the fundamental role of the measurement system in the process of controlling an autonomous ship.

show abstract

State-of-the-Art Research on Motion Control of Maritime Autonomous Surface Ships

Cited by 63 publications

References 154 publications

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

Development of control model for loading operations on heavy lift vessels based on inverse algorithm

Towards the Autonomy: Control Systems for the Ship in Confined and Open Waters

Contact Info

Product

Resources

About