Title :
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
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;
Conference_Titel :
Advanced Motion Control, 2004. AMC '04. The 8th IEEE International Workshop on
Print_ISBN :
0-7803-8300-1
DOI :
10.1109/AMC.2004.1297954
