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
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;
Conference_Titel :
OCEANS '97. MTS/IEEE Conference Proceedings
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-4108-2
DOI :
10.1109/OCEANS.1997.634328
