Title :
Rudder roll stabilization using generalized predictive control for ships based on genetic linear model
Author :
Ge, Dehong ; Gao, Qixiao ; Chen, Yongbing ; Li, An ; Huang, Xun
Author_Institution :
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng. Wuhan, Wuhan, China
Abstract :
The rudder roll stabilization RRS is a new technology. The current linear model of ship is adopted to design its controller, but the controller has not a satisfying performance. According to the nonlinear model of ship, a genetic linear model is built adapted to rudder roll stabilization using genetic algorithm. On the basis of the genetic linear model, a generalized predictive controller is designed. The system simulation is given under the typical navigation condition. The simulation shows that the controller performance of genetic linear model is superior to the general model controller. The simulation results indicate that the genetic linear model is feasible.
Keywords :
control system synthesis; genetic algorithms; linear systems; nonlinear control systems; position control; predictive control; ships; stability; generalized predictive control; genetic algorithm; genetic linear model; nonlinear ship model; predictive controller design; rudder roll stabilization; ships; Calibration; Damping; Educational institutions; Genetics; Marine vehicles; Nonlinear equations; Predictive control; Predictive models; Testing; Vectors; Generalized Predictive Control; Genetic Linear Model; Rudder Roll Stabilization; Simulation;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485479
