Intelligent control algorithm for ship dynamic positioning

被引：11
|
作者：
Meng, Wang [1 ]
Sheng, Li Hong [1 ]
Qing, Miao [1 ]
Rong, Bian Guang [1 ]
机构：
[1] Wuhan Univ Technol, Mech & Elect Engn, Wuhan, Peoples R China
来源：
ARCHIVES OF CONTROL SCIENCES | 2014年 / 24卷 / 04期
关键词：
dynamic positioning; fuzzy control; neural network control; BP algorithm;
D O I：
10.2478/acsc-2014-0026
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ship motion in the sea is a complex nonlinear kinematics. The hydrodynamic coefficients of ship model are very difficult to accurately determine. Establishing accurate mathematical model of ship motion is difficult because of changing random factors in the marine environment. Aiming at seeking a method of control to realize ship positioning, intelligent control algorithms are adopt utilizing operator's experience. Fuzzy controller and the neural network controller are respectively designed. Through simulations and experiments, intelligent control algorithm can deal with the complex nonlinear motion, and has good robustness. The ship dynamic positioning system with neural network control has high positioning accuracy and performance.
引用
收藏
页码：479 / 497
页数：19
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