Rudder roll stabilization for fishing vessel using neural network approach

ALARÇİN F., Gulez K.

OCEAN ENGINEERING, cilt.34, sa.13, ss.1811-1817, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 34 Sayı: 13
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.oceaneng.2007.03.001
  • Dergi Adı: OCEAN ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1811-1817
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.