Next Article in Journal
Communicating Simulation Outputs of Mesoscale Coastal Evolution to Specialist and Non-Specialist Audiences
Next Article in Special Issue
A Layout Strategy for Distributed Barrage Jamming against Underwater Acoustic Sensor Networks
Previous Article in Journal
Design and Simulation of a New Intermodal Automated Container Transport System (ACTS) Considering Different Operation Scenarios of Container Terminals
Previous Article in Special Issue
Optimized Dislocation of Mobile Sensor Networks on Large Marine Environments Using Voronoi Partitions
Article

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

1
Department of Computer Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
2
Center for Artificial Intelligence and Cybersecurity, University of Rijeka, Radmile Matejcic 2, 51000 Rijeka, Croatia
3
Department of Naval Architecture and Ocean Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
4
Faculty of Maritime Sciences, Kobe University, 5-1-1 Fukaeminami-machi, Higashinada-ku, Kobe 658-0022, Japan
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(4), 234; https://doi.org/10.3390/jmse8040234
Received: 13 February 2020 / Revised: 18 March 2020 / Accepted: 23 March 2020 / Published: 30 March 2020
(This article belongs to the Special Issue Signals and Images in Sea Technologies)
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. View Full-Text
Keywords: ship; navigation systems; dynamic positioning; signal filtering; signal processing; time-frequency representation; Kalman filter; estimation; directional wave spectra ship; navigation systems; dynamic positioning; signal filtering; signal processing; time-frequency representation; Kalman filter; estimation; directional wave spectra
Show Figures

Figure 1

MDPI and ACS Style

Selimović, D.; Lerga, J.; Prpić-Oršić, J.; Kenji, S. Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques. J. Mar. Sci. Eng. 2020, 8, 234. https://doi.org/10.3390/jmse8040234

AMA Style

Selimović D, Lerga J, Prpić-Oršić J, Kenji S. Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques. Journal of Marine Science and Engineering. 2020; 8(4):234. https://doi.org/10.3390/jmse8040234

Chicago/Turabian Style

Selimović, Denis, Jonatan Lerga, Jasna Prpić-Oršić, and Sasa Kenji. 2020. "Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques" Journal of Marine Science and Engineering 8, no. 4: 234. https://doi.org/10.3390/jmse8040234

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop