DocumentCode
1336829
Title
Kalman filtering for positioning and heading control of ships and offshore rigs
Author
Fossen, Thor I. ; Perez, Tristan
Volume
29
Issue
6
fYear
2009
Firstpage
32
Lastpage
46
Abstract
In this article, we have described the main components of a ship motion-control system and two particular motion-control problems that require wave filtering, namely, dynamic positioning and heading autopilot. Then, we discussed the models commonly used for vessel response and showed how these models are used for Kalman filter design. We also briefly discussed parameter and noise covariance estimation, which are used for filter tuning. To illustrate the performance, a case study based on numerical simulations for a ship autopilot was considered. The material discussed in this article conforms to modern commercially available ship motion-control systems. Most of the vessels operating in the offshore industry worldwide use Kalman filters for velocity estimation and wave filtering. Thus, the article provides an up-to-date tutorial and overview of Kalman-filter-based wave filtering.
Keywords
Kalman filters; control system synthesis; covariance analysis; motion control; position control; ships; vehicle dynamics; Kalman filter design; covariance estimation; dynamic positioning; filter tuning; heading autopilot; offshore rigs; positioning control; ship autopilot; ship motion-control system; velocity estimation; wave filtering; Actuators; Control systems; Filtering; Frequency; Kalman filters; Marine vehicles; Motion control; Motion estimation; Position measurement; Velocity measurement;
fLanguage
English
Journal_Title
Control Systems, IEEE
Publisher
ieee
ISSN
1066-033X
Type
jour
DOI
10.1109/MCS.2009.934408
Filename
5338560
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