Design of GA-based Fuzzy Control for Ship Steering

Author

Hu, Jiangqiang ; Li, Tieshan ; GUO, Chen

Author_Institution

Navigation Coll., Dalian Maritime Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3594

Lastpage

3598

Abstract

A new hybrid control algorithm of autopilot for ship steering is proposed. Fuzzy control technology emulates the characteristics of ship´s manual steering. And genetic algorithms are used to optimize the parameters of the fuzzy ship autopilot for their complicate coupling, and then realize the auto tradeoff among them. Since rule base is formulated in fuzzy inference, the optimization for fuzzy rule base can be achieved by optimizing fewer parameters. Simulation study shows that such an autopilot can smartly and steadily follow the reference course, and has small overshoot and good robustness

Keywords

control system synthesis; fuzzy control; fuzzy reasoning; genetic algorithms; motion control; ships; steering systems; fuzzy control; fuzzy inference; fuzzy rule base; fuzzy ship autopilot; genetic algorithm; hybrid control algorithm; parameter optimization; ship steering autopilot; Control systems; Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Humans; Marine vehicles; Nonlinear control systems; Three-term control; fuzzy control; genetic algorithms; ship steering;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713039

Filename

1713039