An optimal autopilot for ships using a regressive exogenous model

Author

Tran, Van-Truong ; Huu-Thanh Nguyen ; Hoang, Th-Xuan ; Nguyen, Th-Minh-Huong ; Cu, Xuan-Thinh ; Nguyen, Vo-Phong

Author_Institution

C&A Technol. Application Support Co. Ltd., Vietnam

Volume

2

fYear

2004

fDate

26-29 Oct. 2004

Firstpage

913

Abstract

A linear quadratic Gaussian (LQG) control algorithm linked to the recursive least squares (RLS) algorithm has been applied to a multivariate autoregressive 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 maneuvers.

Keywords

autoregressive processes; least squares approximations; linear quadratic Gaussian control; recursive estimation; robust control; ships; LQG control; MARX model; RLS algorithm; computer simulation; course changing maneuvers; course keeping; linear quadratic Gaussian control; multivariate autoregressive exogenous model; optimal autopilot; recursive least squares; regressive exogenous model; robust control; ships; Algorithm design and analysis; Automatic control; Computer simulation; Control theory; Design methodology; Electronic mail; Marine vehicles; Optimal control; Resonance light scattering; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on

Print_ISBN

0-7803-8593-4

Type

conf

DOI

10.1109/ISCIT.2004.1413852

Filename

1413852