Ship steering control system optimisation using genetic algorithms

被引：85
作者：
McGookin, EW [1 ]
Murray-Smith, DJ
Li, Y
Fossen, TI
机构：
[1] Univ Glasgow, Ctr Syst & Control, Glasgow G12 8LT, Lanark, Scotland
[2] Univ Glasgow, Dept Elect & Elect Engn, Glasgow G12 8LT, Lanark, Scotland
[3] Norwegian Univ Sci & Technol, Dept Engn Cybernet, N-7034 Trondheim, Norway
来源：
CONTROL ENGINEERING PRACTICE | 2000年 / 8卷 / 04期
基金：
英国工程与自然科学研究理事会;
关键词：
ship control; sliding mode control; genetic algorithms; optimisation problems;
D O I：
10.1016/S0967-0661(99)00159-8
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The optimisation of non-linear control systems by genetic algorithm is studied in this paper. It involves the performance of two systems for regulating the motion of a ship model. These systems allow Course Changing and Track Keeping through the implementation of a sliding mode controller. The genetic algorithm is used to optimise the performance of the complete system under various operating conditions by optimising the parameters of the sliding mode controller. The type of vessel considered is an oil tanker. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：429 / 443
页数：15
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