[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5394/KINPR.2007.31.4.289

Neural Network Based Rudder-Roll Damping Control System for Ship

Nguyen, Phung-Hung (Dept. of Navigation, Vietnam Maritime University)
Jung, Yun-Chul (Div. of Navigation Systems Engineering, Korea Maritime University)

Publication Information

Journal of Navigation and Port Research / v.31, no.4, 2007 , pp. 289-293 More about this Journal

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 ANNAI 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 ANNAI controller for RRD. Also, the necessity of mathematical ship model in designing RRD control system is removed by using NN control technique.

Keywords

Adaptive neural networks; Heading control; Rudder-roll damping control; NN controller;

Citations & Related Records

Reference

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