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Neural Network Based Rudder-Roll Damping Control System for Ship

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/261047
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Journal of Korean Navigation and Port Reserch (한국항해항만학회지)
한국항해항만학회 (Korean Institute of Navigation and Port Research)
초록

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.

저자
  • Phung-Hung Nguyen
  • Yun-Chul Jung