Applying the Geodetic Adjustment Method for Positioning in Relation to the Swarm Leader of Underwater Vehicles Based on Course, Speed, and Distance Measurements
Krzysztof Naus and
Paweł Piskur
Additional contact information
Krzysztof Naus: Faculty of Navigation and Naval Weapons, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland
Paweł Piskur: Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland
Energies, 2022, vol. 15, issue 22, 1-13
Abstract:
The research consisted of simulating the movement of a single vehicle in relation to the swarm leader on a square-shaped path, taking into account measurement errors characteristic of typical cheap navigation devices and the hydroacoustic system. The research showed that these methods allow for estimating position coordinates with an accuracy of about 0.5 m (RMS) in the case of a calibrated navigation system and about 3.6 m (RMS) in the case of a non-calibrated navigation system. It also showed that it can provide a higher accuracy of estimating position coordinates in terms of abeam angles of the swarm leader (relative bearing equal to approximately ±90°), as well as while ensuring minimizing systematic errors values and proper estimation of mean errors values concerning course and speed measurements.
Keywords: underwater vehicle navigation system; positioning in relation to the swarm leader of underwater vehicles; methods of relative positioning; positional accuracy of the coordinates (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/22/8472/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/22/8472/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:22:p:8472-:d:971236
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().