RESEARCH ON PARAMETER OPTIMIZATION FOR PID CONTROLLER TO STABILIZE SHIP TRAJECTOR USING GENETIC ALGORITHM

Abstract

Accurate and stable ship heading control is crucial for ensuring maritime safety and operational efficiency. PID controllers have been widely used in ship autopilot systems, however, fine-tuning the PID controller parameters to achieve optimal performance in complex and constantly changing operating conditions is a major challenge. To overcome the above limitations, this paper proposes the use of a Genetic Algorithm (GA) to optimize the parameters of the PID controller, forming a GA-PID controller to improve the quality of the controller. Thereby, this study contributes to improving the performance and reliability of the ship's autopilot system.