Journal of Navigation and Port Research 2007;31(4):289-293.
Published online June 20, 2007.
Neural Network Based Rudder-Roll Damping Control System for Ship
Phung-Hung Nguyen, Yun-Chul Jung
Abstract
In this paper, new application of adaptive neural network to design a ship's Rudder-Roll Damping(RRD) control system is presented Firstly, the ANNAl neural network controller is presented Secondly, new 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, Computer simulation of this RRD control system is carried out to compare with a linear quadratic optimal RRD control system; discussions and conclusions are provided The simulation results show the feasibility of using ANNAl controller for RRD. Also, the necessity of mathematical ship model in designing RRD control system is removed by using NN control technique.
Key Words: Adaptive neural networks;Heading control;Rudder-roll damping control. NN controller


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