SCIS & ISIS

Abstract

This paper discusses a fuzzy support agent using ontology-based linguistic instructions for ship steering control and desires to testify the validity of the proposal by applying the fuzzy control model to the steering control system based on linguistic instructions. The fuzzy support agent is presented to build the maneuvering models of steersman and the miniature model for steering control system. The proposed system contains three main mechanisms, including the interpretation mechanism of linguistic instructions, the self-regulation mechanism, and the task performance mechanism. Among three, the task performance mechanism includes the kinematics module and the performance ontology. The simulation results show that the proposed approach can work effectively for ship steering control.