Steering the Ship

Ship Steering

Hybrid Intelligent Control for Ship Steering

This paper is concerned with the application of hybrid intelligent control techniques for improving the performance of ship steering. Hybrid intelligent controllers can make full use of the advantages of a variety of intelligent algorithms. In this paper, optimization with genetic algorithms is used in off-line learning periods and reinforcement learning and neural fuzzy control are integrated ...

Adaptive Robust Backstepping Nonlinear Algorithm Applied to Ship Steering

An adaptive robust nonlinear steering controller for ship’s course is developed. Incorporating the Nussbaum-type function gain and adaptive backstepping algorithm, the proposed control strategy requires neither known dynamic parameters of a ship’s model nor any knowledge about environmental disturbances. It is proved that the designed adaptive robust controller of ship steering can guarantee th...

Ontology-based fuzzy support agent for ship steering control

The important field of research on ship operation is related to the high efficiency of transportation, the convenience of maneuvering ships, and the safety of navigation. This paper proposes an ontology-based fuzzy support agent 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 ins...

Ship steering control system optimisation using genetic algorithms

The optimisation of non-linear control systems by genetic algorithm is studied in this paper. It involves the performance of two systems for regulating the motion of a ship model. These systems allow Course Changing and Track Keeping through the implementation of a sliding mode controller. The genetic algorithm is used to optimise the performance of the complete system under various operating c...