Title :
Application of Sliding Mode Control Based on Genetic Algorithm in Direction Control System of Submarine
Author :
Ma, YuMing ; Dou, FangJun
Author_Institution :
Sch. of Inf., Shandong Polytech. Univ., Jinan, China
Abstract :
In this paper the motion equation of the submarine is simplified, the sliding mode tracking controller of direction is designed to reduce the effects of strongly-coupled and nonlinear equation itself, and it is optimized via genetic algorithms to determine the optimal parameters of the controller, The effectiveness of the optimized sliding mode controller is demonstrated through the simulation results.
Keywords :
control system synthesis; genetic algorithms; marine control; motion control; nonlinear equations; parameter estimation; underwater vehicles; variable structure systems; genetic algorithm; motion equation; nonlinear equation effect reduction; optimal parameter determination; sliding mode tracking controller design; strongly-coupled equation effect reduction; submarine direction control system; Equations; Genetic algorithms; Mathematical model; Optimization; Sliding mode control; Underwater vehicles; genetic Algorithm; sliding mode control; tracking controller;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.380
