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

页码：277 / 282

页数：6

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