Marine autonomous surface ship - control system configuration

Zubowicz, Tomasz; Arminski, Krzysztof; Witkowska, Anna; Śmierzchalski, Roman

doi:10.1016/j.ifacol.2019.08.100

Cited by 14 publications

(4 citation statements)

References 13 publications

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“…The configuration of the MASS control system, enabling fully autonomous operations in various operating conditions, and an overview of the selection of hardware and software are presented in Zubowicz et al [3]. The control system is functionally decomposed into layers, implemented by a hierarchical control structure.…”

Section: State Of Knowledgementioning

confidence: 99%

Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

Koznowski,

Kula,

Lazarowska

et al. 2023

Electronics

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The article presents the synthesis of a multi-layer group control system for a marine autonomous surface vessel with the use of modern control theory methods. First, an evolutionary programming algorithm for determining the optimal route path was presented. Then the algorithms—dynamic programming with neural state constraints, ant colony, and neuro-phase safe control algorithms—were presented. LMI and predictive line-of-sight methods were used for optimal control. The direct control layer is implemented in multi-operations on the principle of switching. The results of the computer simulation of the algorithms were used to assess the quality control.

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Section: State Of Knowledgementioning

confidence: 99%

Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

Koznowski,

Kula,

Lazarowska

et al. 2023

Electronics

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“…The most severe cases are those related to failures and malfunctions. It should be taken into consideration that with the increase in the level of automation, the number of service personnel on ships is decreasing; the concept of a virtual mechanic on watch [2] is actively developing and is partially introduced. World leaders, such as Rolls Royce, are developing technologies to control a ship as a remote object with a gradual transition to full autonomy.…”

Section: An Improvement Of the Control System Implied The Integration Of A Modeling Unit And A Decision Support Unit Into Its Structure Tmentioning

confidence: 99%

Improving the ship's power plant automatic control system by using a model-oriented decision support system in order to reduce accident rate under the transitional and dynamic modes of operation

Voytetsky

Voytetskaya

Vyshnevskyi

et al. 2021

EEJET

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This paper proposes a method to improve the performance of a ship's power plant by reducing accidents within it under transitional operating modes. The method is based on decreasing the number of service personnel errors by using a model-oriented decision support system. In order to implement the proposed method, the structure of the system of automatic control of the ship's power plant has been improved. Such an improvement of the control system implied the integration of a modeling unit and a decision support unit into its structure. The modeling unit makes it possible to predict values of the controlled parameters under a transition mode of operation before they actually appear in the system as a result of the operator's actions. A mathematical model of the automatic control system under transitional operating modes has been built for this unit. In order to implement the decision support unit, a method has been devised to formalize the task of managing the power plant under transitional operating modes. The method essentially involves modeling a transitional operating regime, followed by an evaluation of the results based on regulatory requirements and an empirical criterion for assessing the quality of enabling the diesel generators to work in parallel. In addition, a method has been developed for the decision support unit to reduce the accident rate and improve performance with the help of a mathematical apparatus of fuzzy inference, fuzzy logic, and fuzzy sets. Transitional operating regimes resulting from actual erroneous operator actions during ship flights were investigated. As a result of using the proposed system, the power plant performance increases

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“…The objective of this study is to evaluate the characteristics and select the parameters that provide the required quality of functioning of the projected complex MMEMS. Such studies are carried out on the basis of analytical models or by simulation (software) modeling [10]. Analytical models based on the application of queuing theory apparatus [11] are used in the initial stages of design.…”

Section: Problem Solutionmentioning

confidence: 99%

Operational Optimization of the Electromechanical System in Non-deterministic Conditions

Budashko

Onishchenko

Hvozdeva

et al. 2020

Wseas Transactions on Circuits and Systems

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On the basis of theoretical and practical studies of the electromechanical system, the scientific and technical problem of improving the control system of the electromechanical system during the impact on it of multi-vector perturbations is solved. The result of the study is the integration of differential equations with coefficients dependent on the oscillations of the control object. In the theoretical part, the mathematical model of the electromechanical system was synthesized, which made it possible to investigate ways of minimizing the deviation angles and time intervals required to stabilize the motion of the electromechanical system, which allowed indirectly to realize the associated signal with the stochastic nature of the moment of oscillation of the control object on the coordinate plane. The method of parametric optimization of the mathematical model of the electromechanical system in the function of the angle of inclination is also improved and investigated. Based on the definition of the structure and algorithms of work, the efficiency of the control system of the electromechanical system increases in terms of reducing the stabilization time of the control object.

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Marine autonomous surface ship - control system configuration

Cited by 14 publications

References 13 publications

Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

Improving the ship's power plant automatic control system by using a model-oriented decision support system in order to reduce accident rate under the transitional and dynamic modes of operation

Operational Optimization of the Electromechanical System in Non-deterministic Conditions

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