Neural Network Based Rudder-Roll Damping Control System for Ship

This paper presents new application of adaptive neural network to design a Rudder-Roll Damping (RRD) control system for ship. Firstly, the neural network controller to be applied is presented. Secondly, a RRD control system using this neural network approach is developed. It uses two neural network controllers for heading control and roll damping control separately. Finally, we carry out computer simulation of this RRD control system to compare with a linear quadratic optimal RRD control system; discussions and conclusions are provided. The simulation results show the feasibility of proposed neural network control approach in designing RRD control system for ship and its improvements compared with the conventional approach.