Ship's optimal autopilot with a multivariate auto-regressive exogenous model

被引：0
|
作者：
Nguyen, DH [1 ]
Le, MD [1 ]
Ohtsu, K [1 ]
机构：
[1] Univ Tokyo Mercantile Marine, Ship Maneuvering Lab, Koto Ku, Tokyo 1358533, Japan
来源：
CONTROL APPLICATIONS OF OPTIMIZATION 2000, VOLS 1 AND 2 | 2000年
关键词：
auto-regressive models; identification algorithms; recursive least squares; ship control; LQG control and control applications;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new application of the linear quadratic gaussian (LQG) control algorithm linked to the recursive least squares (RLS) algorithm applied to a multivariate auto-regressive exogenous (MARX) model of ships to construct an autopilot for steering ships. Simulation performed for a training ship is described. As the first step of designing; a tracking system, the optimal autopilot with the MARX model was used to both keep and change the ship's course during full-scale experiments aboard the training ship. It has been found that the autopilot is robust and has good performance for steering ships. Copyright (C) 2000 IFAC.
引用
收藏
页码：277 / 282
页数：6
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