Title :
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
fDate :
Aug. 30 2006-Sept. 1 2006
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;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.244
