Title :
Parameter optimisation of a nonlinear tanker control system using genetic algorithms
Author :
McGookin, Euan W. ; 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 fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a sliding mode controller (SMC). The GA is used to optimise the performance of the complete system by optimising the parameters of the SMC
Keywords :
ships; autopilot; course keeping; genetic algorithm; nonlinear control systems; oil tanker; parameter optimisation; sliding mode control;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971152
