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Pregled bibliografske jedinice broj: 1055841

Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques


Selimović, Denis; Lerga, Jonatan; Prpić-Oršić, Jasna; Kenji, Sasa
Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques // Journal of marine science and engineering, 8(4) (2020), 234, 28 doi:10.3390/jmse8040234 (međunarodna recenzija, članak, znanstveni)


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Naslov
Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques

Autori
Selimović, Denis ; Lerga, Jonatan ; Prpić-Oršić, Jasna ; Kenji, Sasa

Izvornik
Journal of marine science and engineering (2077-1312) 8(4) (2020); 234, 28

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
ship ; navigation systems ; dynamic positioning ; signal filtering ; signal processing ; time-frequency representation ; Kalman filter ; estimation ; directional wave spectra

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Brodogradnja, Računarstvo



POVEZANOST RADA


Projekti:
IP-2020-02-4358
uniri-tehnic-18-17
uniri-tehnic-18-15
HRZZ-IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (DESSERT) (Prpić-Oršić, Jasna, HRZZ - 2018-01) ( POIROT)

Ustanove:
Tehnički fakultet, Rijeka

Citiraj ovu publikaciju

Selimović, Denis; Lerga, Jonatan; Prpić-Oršić, Jasna; Kenji, Sasa
Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques // Journal of marine science and engineering, 8(4) (2020), 234, 28 doi:10.3390/jmse8040234 (međunarodna recenzija, članak, znanstveni)
Selimović, D., Lerga, J., Prpić-Oršić, J. & Kenji, S. (2020) Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques. Journal of marine science and engineering, 8(4), 234, 28 doi:10.3390/jmse8040234.
@article{article, year = {2020}, pages = {28}, DOI = {10.3390/jmse8040234}, chapter = {234}, keywords = {ship, navigation systems, dynamic positioning, signal filtering, signal processing, time-frequency representation, Kalman filter, estimation, directional wave spectra}, journal = {Journal of marine science and engineering}, doi = {10.3390/jmse8040234}, volume = {8(4)}, issn = {2077-1312}, title = {Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques}, keyword = {ship, navigation systems, dynamic positioning, signal filtering, signal processing, time-frequency representation, Kalman filter, estimation, directional wave spectra}, chapternumber = {234} }
@article{article, year = {2020}, pages = {28}, DOI = {10.3390/jmse8040234}, chapter = {234}, keywords = {ship, navigation systems, dynamic positioning, signal filtering, signal processing, time-frequency representation, Kalman filter, estimation, directional wave spectra}, journal = {Journal of marine science and engineering}, doi = {10.3390/jmse8040234}, volume = {8(4)}, issn = {2077-1312}, title = {Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques}, keyword = {ship, navigation systems, dynamic positioning, signal filtering, signal processing, time-frequency representation, Kalman filter, estimation, directional wave spectra}, chapternumber = {234} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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