Rudder roll stabilization for fishing vessel using neural network approach

ALARÇİN F., Gulez K.

OCEAN ENGINEERING, vol.34, no.13, pp.1811-1817, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 34 Issue: 13
  • Publication Date: 2007
  • Doi Number: 10.1016/j.oceaneng.2007.03.001
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1811-1817
  • Yıldız Technical University Affiliated: Yes


This paper presents a neural network (NN) controller for a fishing vessel rudder roll system. The aim of this study is to build a NN controller which uses rudder to regulate both the yaw and roll motion. The neural controller design is accomplished with using the classical back-propagation algorithm (CBA). Effectiveness of the proposed NN control scheme is compared with linear quadratic regulator (LQR) results by simulations carried out a fishing vessel rudder roll stabilizer system. (c) 2007 Elsevier Ltd. All rights reserved.