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Improving the Performance of Dynamic Ship Positioning Systems: A Review of Filtering and Estimation Techniques
- Source :
- Journal of Marine Science and Engineering, Volume 8, Issue 4, Journal of Marine Science and Engineering, Vol 8, Iss 234, p 234 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI, 2020.
-
Abstract
- 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&rsquo<br />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&rsquo<br />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.
- Subjects :
- ship
navigation systems
dynamic positioning
signal filtering
signal processing
time-frequency representation
Kalman filter
estimation
directional wave spectra
Computer science
Reliability (computer networking)
020101 civil engineering
Ocean Engineering
02 engineering and technology
01 natural sciences
010305 fluids & plasmas
0201 civil engineering
lcsh:Oceanography
lcsh:VM1-989
Control theory
Hull
0103 physical sciences
lcsh:GC1-1581
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Water Science and Technology
Civil and Structural Engineering
Signal processing
lcsh:Naval architecture. Shipbuilding. Marine engineering
Nonlinear system
Dynamic positioning
Routing (electronic design automation)
Actuator
Subjects
Details
- Language :
- English
- ISSN :
- 20771312
- Volume :
- 8
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of Marine Science and Engineering
- Accession number :
- edsair.doi.dedup.....a0a5bb363fd5babc7c9d053b70966067