DocumentCode
232475
Title
The ship´s mathematic motion models of altering course to avoid collision based on the optimization of genetic algorithm
Author
Fang Cheng ; Deng Hua
Author_Institution
Dalian Maritime Univ., Dalian, China
fYear
2014
fDate
28-30 July 2014
Firstpage
6364
Lastpage
6367
Abstract
From the nonlinear ship maneuvering motion mathematical model and geometric plotting point of view, This paper optimizes the parameters of ship mathematic model by using genetic algorithm in the ship automatic steering nonlinear sliding mode control, establishes the ship´s mathematic motion models of altering course to avoid collision based on genetic algorithm, and be tested in the simulation platform by MATALB, the result is consistent with the practice for preventing collision at sea.
Keywords
collision avoidance; genetic algorithms; marine control; nonlinear control systems; ships; variable structure systems; collision avoidance; genetic algorithm; geometric plotting point-of-view; nonlinear ship maneuvering motion; nonlinear sliding mode control; optimization; sea collision; ship mathematic motion model; Collision avoidance; Educational institutions; Equations; Genetic algorithms; Marine vehicles; Mathematical model; alter course to avoid collision; genetic algorithm; nonlinear sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6896036
Filename
6896036
Link To Document