Detection and tracking of ocean layers using an AUV with UKF based extremum seeking control in the Baltic Sea.

von See, Tim-Benedikt, Greinert, Jens and Meurer, Thomas (2024) Detection and tracking of ocean layers using an AUV with UKF based extremum seeking control in the Baltic Sea. Open Access Scientific Reports, 14 . Art.Nr. 20629. DOI 10.1038/s41598-024-70775-y.

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Abstract

Adaptive sampling and situational awareness are key features of modern autonomous underwater vehicles (AUVs) since data quality can be improved while operation time and cost can be reduced. An example for adaptive sampling in the marine environmental context is thermocline detection and tracking. The thermocline as horizontal ocean layer separates warm and cold water and is a key feature in many marine disciplines. For example, it influences the distribution and exchange of nutrients and is a habitat for many organisms. In this paper we use an unscented Kalman Filter (UKF) based extremum seeking control (ESC) to find and follow ocean layers such as the thermocline. Computer simulations and real-world tests show that the method is able to find and track non-trivial real-world ocean layers with sensors subject to hysteresis and delay effects.

Document Type: Article
Keywords: Autonomous underwater vehicle (AUV); Data-driven optimization; Extremum seeking control; Unscented Kalman Filter; Thermocline Detection; Thermocline Tracking
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems
HGF-KIT
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems > FB2-MG Marine Geosystems DeepSea Monitoring
Kiel University
Main POF Topic: PT6: Marine Life
Refereed: Yes
Open Access Journal?: Yes
Publisher: Nature Research
Related URLs:
Projects: MarDATA
Contribution Number:
Project
Number
DSM
63
Date Deposited: 26 Aug 2024 11:28
Last Modified: 14 Jan 2025 13:53
URI: https://oceanrep.geomar.de/id/eprint/60695

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