Title :
Nonlinear cloud model control for ship steering based on genetic algorithms
Author :
Xing, Daoqi ; Zhang, Liangxin ; Wang, Xiaolin ; Ma, Rengang
Author_Institution :
Dept. of Command & Eng. of Logistics, Naval Univ. of Eng., Tianjin, China
Abstract :
A cloud model controller for ship steering is developed with nonlinear behavior and uncertain problems of ship motion. The fast Elitist non-dominating sorting genetic algorithm II (NSGA-II) is employed to optimize the parameters of the controller. Analysis and simulation results show the design of the cloud model controller based on multi-objective optimization of genetic algorithm is effective and the controller has good control performance and strong robustness.
Keywords :
genetic algorithms; motion control; nonlinear control systems; ships; sorting; uncertain systems; cloud model controller; fast elitist nondominating sorting genetic algorithm II; multiobjective optimization; nonlinear behavior; nonlinear cloud model control; ship motion; ship steering; uncertain problem; Generators; Genetic algorithms; Marine vehicles; Mathematical model; Pragmatics; Simulation; Tuning; NSGA-II; cloud model; nonlinear; ship course control;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768901
