Semantic Scholar Open Access 2020 15 sitasi

Autonomous Underwater Vehicle Homing With a Single Range-Only Beacon

James R. Keane A. Forrest H. Johannsson D. Battle

Abstrak

Homing behavior for autonomous underwater vehicles (AUVs) is vital for autonomous docking and indispensable for recovery of vehicles in logistically difficult or hazardous conditions. Homing to a single acoustic beacon is a low-logistics solution to this engineering challenge. A homing application has been developed in C++ that applies a multilateration-based localization algorithm to estimate transponder location for homing. Mission oriented operating suite interval programming (MOOS-IvP) was implemented as a backseat driver on a Teledyne Gavia AUV to enhance the AUV with adaptive maneuvering capabilities; thus, enabling mission waypoints to be dynamically updated by the homing application (pHomeToBeacon) through the MOOS database and a developed iGavia crewmember. To demonstrate MOOS-IvP-GAVIA and homing capabilities using this first-principles approach to localization, field trials were undertaken in Kópavogur, Iceland, in June 2015 and proved consistent homing to a single beacon within 15 m accuracy. These trials were an industry-first of deploying a user-developed application on MOOS-IvP-GAVIA and of having a Gavia enhanced with adaptive maneuvering capabilities for homing. This new capability enables Gavia AUV to be used as a platform for future developer-led autonomy and applications. Ultimately, pHomeToBeacon will enable any AUV enhanced with MOOS-IvP to use acoustics to home to a surface vessel (stationary or underway) in preparation for autonomous subsea docking and recovery.

Topik & Kata Kunci

Penulis (4)

J

James R. Keane

A

A. Forrest

H

H. Johannsson

D

D. Battle

Format Sitasi

Keane, J.R., Forrest, A., Johannsson, H., Battle, D. (2020). Autonomous Underwater Vehicle Homing With a Single Range-Only Beacon. https://doi.org/10.1109/JOE.2018.2877535

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
15×
Sumber Database
Semantic Scholar
DOI
10.1109/JOE.2018.2877535
Akses
Open Access ✓