Autopilot Design Based on Fuzzy Logic and Genetic Algorithm

Author

Lu, Xionghui ; Yi, Jianqiang ; Zhao, Dongbin

Author_Institution

Inst. of Autom., Chinese Acad. of Sci., Beijing

Volume

2

fYear

2006

fDate

Aug. 30 2006-Sept. 1 2006

Firstpage

309

Lastpage

312

Abstract

Compared with human beings, autopilots have advantages in controlling ships in higher precision. However, due to disturbances caused by sea wind, wave, flow and some other uncertainties such as variance of ship physical parameters, how to control autopilots properly is a very difficult problem. An autopilot based on fuzzy logic and genetic algorithm is designed to make a ship follow "virtual course angle", which is calculated from real course angle and track deflection. Simulation results show that the ship follows the desired track satisfactorily

Keywords

control engineering computing; control system synthesis; fuzzy control; fuzzy logic; genetic algorithms; intelligent control; ships; autopilot design; fuzzy logic; genetic algorithm; intelligent controller; ship control; ship physical parameters; track deflection; virtual course angle; Algorithm design and analysis; Automatic control; Control systems; Equations; Fuzzy control; Fuzzy logic; Genetic algorithms; Marine vehicles; Mathematical model; Reliability theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2616-0

Type

conf

DOI

10.1109/ICICIC.2006.244

Filename

1691988