Fuzzy Controller for Tanker Ship Heading Regulation System

The fuzzy controller is designed for tanker ship heading regulation. This advanced control system automatically adjusts the vessel's heading to maintain stable navigation direction during operation. By employing fuzzy logic and fuzzy inference techniques, the controller intelligently computes optimal heading adjustment commands based on real-time ship status and environmental conditions. The system typically implements membership functions to quantify linguistic variables like "heading deviation" and "rate of turn," then applies IF-THEN rules through a fuzzy inference engine. The defuzzification process converts fuzzy outputs into precise control signals for the ship's rudder system. This technology significantly enhances navigation safety and stability while reducing collision risks with surrounding environments. As a result, fuzzy controllers have gained widespread adoption and recognition within the tanker industry for their robust performance in handling nonlinear ship dynamics and external disturbances. Key implementation components include fuzzification interfaces, rule bases, inference mechanisms, and defuzzification modules, often programmed using control-oriented languages like MATLAB/Simulink for system simulation and validation.