Rudder roll stabilization for fishing vessel using neural network approach

被引：32

作者：

Alarcin, Fuat

Gulez, Kayhan ^{[1
]}

机构：

[1] Yildiz Tech Univ, Dept Naval Architecture & Marine Engn, TR-34349 Istanbul, Turkey

[2] Yildiz Tech Univ, Dept Elect Engn, TR-34349 Istanbul, Turkey

来源：

OCEAN ENGINEERING | 2007年 / 34卷 / 13期

关键词：

fishing vessel; rudder roll stabilization; riccati equation; neural networks;

D O I：

10.1016/j.oceaneng.2007.03.001

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

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.

引用

页码：1811 / 1817

页数：7

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