%0 Journal Article
%A Mykhailenko, Vladislav
%A Hvozdeva, Iryna
%A Shevchenko, Valerii
%A Grama, Gennadiy
%A Leshchenko, Valerii
%T Intelligent Vessel Course Stabilization Control System
%J TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
%V 20
%N 3
%P 529-538
%D 2026
%U ./Article_Intelligent_Vessel_Course_Stabilization_Mykhailenko,79,1681.html
%X This article presents the development of an intelligent vessel course stabilization control system using an artificial neural network. The objective of the study was to improve vessel control efficiency under external disturbances. A neural network capable of adapting to changing navigational conditions and compensating for external disturbances was used to implement the controller in the vessel course stabilization control system. Simulation of the developed vessel’s automatic course stabilization control system (ACS) was conducted in MATLAB/Simulink using mathematical models of vessel dynamics and wave disturbances. The simulation permit to analyze the effects of sea waves of varying intensity and interactions with oncoming vessels. A comparative analysis of the transient processes of the developed neural network-based system and a traditional adaptive course stabilization system with a PID controller was conducted. A combined method for controlling the vessel course stabilization system is proposed, including the use of a PID controller during stable navigation and automatic switching to a neural network controller when challenging operating conditions and intense external disturbances arise. The results of computer simulations conducted by the authors showed that the developed intelligent automatic control system ensures stable stabilization of the vessel's course when exposed to disturbances of varying intensity. The use of an intelligent approach reduced the transition time and minimized deviations from the set course. The trained neural controller demonstrated high adaptability and resilience to changing parameters of a complex navigational environment.
%@ 2083-6473
%R 10.12716/1001.20.03.01