An optimal ship autopilot using a multivariate auto-regressive exogenous model

Author

Nguyen, Manh-Minh ; Nguyen, Thi-Phuong ; Tran, Duc-Luong ; Nguyen, Quang-Khoi ; Quang-Trung Nguyen ; Dang, Van-Phuong ; Van-Long Tran ; Nguyen, Dac-Hai ; Nguyen, Thi-Minh-Nguyet ; Mai, Anh-Dung

Author_Institution

Hoang Minh JSC, Hanoi, Vietnam

fYear

2004

fDate

25-28 March 2004

Firstpage

701

Lastpage

706

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; digital simulation; least squares approximations; linear quadratic Gaussian control; recursive estimation; ships; LQG control; RLS algorithm; computer simulation; control system synthesis; course changing; course keeping; linear quadratic Gaussian control; multivariate auto regressive exogenous model; optimal ship autopilot; recursive least squares algorithm; training ship; Algorithm design and analysis; Automatic control; Computer simulation; Control systems; Control theory; Design methodology; Marine vehicles; Optimal control; Resonance light scattering; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Motion Control, 2004. AMC '04. The 8th IEEE International Workshop on

Print_ISBN

0-7803-8300-1

Type

conf

DOI

10.1109/AMC.2004.1297954

Filename

1297954