Title :
Ship´s optimal autopilots using a multivariate auto-regressive exogenous model
Author :
Nguyen, Duc-Hung ; Minh-Duc Le
Author_Institution :
Australian Maritime Coll., Tas., Australia
Abstract :
Linear quadratic Gaussian (LQG) control algorithm linked to recursive least squares (RLS) algorithm has been applied to a multivariate auto-regressive exogenous (MARX) model of ships to construct a ship autopilot. It has been found from computer simulation and full-scale experiments aboard a training ship that the autopilot is robust and has good features in both course keeping and course changing.
Keywords :
autoregressive processes; control system synthesis; linear quadratic Gaussian control; recursive estimation; robust control; ships; linear quadratic Gaussian control algorithm; multivariate autoregressive exogenous model; recursive least squares algorithm; ship optimal autopilots;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
