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https://hdl.handle.net/20.500.14094/90007270
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2024-03-29
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90007270 (fulltext)
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メタデータID
90007270
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open access
出版タイプ
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タイトル
Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques
著者
Selimovic, Denis ; Lerga, Jonatan ; Prpic-Orsic, Jasna ; Sasa, Kenji
著者名
Selimovic, Denis
著者名
Lerga, Jonatan
著者名
Prpic-Orsic, Jasna
著者ID
A1732
研究者ID
1000010360330
KUID
https://kuid-rm-web.ofc.kobe-u.ac.jp/profile/ja.9611448e38d86ca4520e17560c007669.html
著者名
Sasa, Kenji
笹, 健児
ササ, ケンジ
所属機関名
海事科学研究科
収録物名
Journal of Marine Science and Engineering
巻(号)
8(4)
ページ
234-234
出版者
MDPI
刊行日
2020-04
公開日
2020-07-20
抄録
Various operations at sea, such as maintaining a constant ship position and direction, require a complex control system. Under such conditions, the ship needs an efficient positioning technique. Dynamic positioning (DP) systems provide such an application with a combination of the actuators mechanism, analyses of crucial ship variables, and environmental conditions. The natural forces of induced nonlinear waves acting on a ship's hull interfere with the systems. To generate control signals for actuators accurately, sensor measurements should be filtered and processed. Furthermore, for safe and green routing, the forces and moments acting on the ship's hull should be taken into account in terms of their prediction. Thus, the design of such systems takes into account the problem of obtaining data about the directional wave spectra (DWS). Sensor systems individually cannot provide high accuracy and reliability, so their measurements need to be combined and complemented. Techniques based on the recursive Kalman filter (KF) are used for this purpose. When some measurements are unavailable, the estimation procedure should predict them and, based on the comparison of theoretical and measured states, reduce the error variance of the analyzed signals. Different approaches for improving estimation algorithms have evolved over the years with the indication of improvement. This paper gives an overview of the state-of-the-art estimation and filtering techniques for providing optimum estimation states in DP systems.
キーワード
ship
navigation systems
dynamic positioning
signal filtering
signal processing
time-frequency representation
Kalman filter
estimation
directional wave spectra
カテゴリ
海事科学研究科
学術雑誌論文
権利
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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資源タイプ
journal article
言語
English (英語)
eISSN
2077-1312
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関連情報
DOI
https://doi.org/10.3390/jmse8040234
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