Marine ship’s course stabilization based on an autopilot with a simple fuzzy controller

Abstract

A simple method for generating a fuzzy course controller for a marine ship is presented. The controller is built without using training data. The new fuzzy controller uses conventional triangular sets, no complex overlaps, no complex expert judgments inherent in other types of fuzzy controllers. This approach makes it possible to synthesize a controller based on unified rules. The system is not hybrid and does not use other methods such as neural networks and reference models. The applicability of the proposed approach is demonstrated by an application for controlling the course of a marine ship in various modes. It is shown by means of simulation that the exchange rate stabilization system synthesized with the new fuzzy controller has robust properties.