DocumentCode
317638
Title
Non-linear tanker control system parameter optimisation using genetic algorithms
Author
Gookin, Euan W M ; Murray-Smith, David J. ; Li, Yun ; Fossen, Thor I.
Author_Institution
Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
Volume
1
fYear
1997
fDate
6-9 Oct 1997
Firstpage
17
Abstract
The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained
Keywords
control system synthesis; genetic algorithms; nonlinear control systems; optimal control; ships; variable structure systems; GA; course changing manoeuvres; genetic algorithms; nonlinear tanker control system parameter optimisation; sliding mode control theory; Automatic control; Control systems; Genetic algorithms; Marine vehicles; Mathematical model; Nonlinear control systems; Nonlinear dynamical systems; Petroleum; Sliding mode control; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '97. MTS/IEEE Conference Proceedings
Conference_Location
Halifax, NS
Print_ISBN
0-7803-4108-2
Type
conf
DOI
10.1109/OCEANS.1997.634328
Filename
634328
Link To Document