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Autonomous underwater vehicle design and development : methodology and performance evaluation

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Języki publikacji
EN
Abstrakty
EN
This study focused on the development of an Autonomous Underwater Vehicle (AUV) across four key domains: Mechanical Design, Software, Electronics, and Security. The Mechanical Design phase involved utilizing computer-aided drawing programs to create the AUV model. Important design considerations encompass manufacturability, cost, power, weight, and durability. Comparisons with nominal values of existing market products validated the precision of the produced designs. This study placed particular emphasis on the optimization of model weight, with a focus on ensuring the AUV’s efficiency, lightness, and exceptional maneuverability within underwater environments. The Software stage entailed the development of AUV software to enable sensitive and effective vehicle operations. Efficient functioning, devoid of errors or complications, was imperative to ensure optimal autonomous driving and operational capabilities. Image processing algorithms were incorporated into the software to maintain high accuracy and provide dimensional and geometric information from targeted areas. Furthermore, the software phase involved the development of an image processing algorithm based on color analysis, further augmenting accuracy. The selection of electronic components for the AUV was also a vital consideration, alongside ensuring safety measures at every stage of the UAV’s development.
Twórcy
  • Department of Mechanical Engineering, Faculty of Engineering, Aydin Adnan Menderes University, Efeler, Aydin, Türkiye
  • Alprobotics Inc., Co-founder, Aydin, Türkiye
  • Institute of Materials Science, TUM School of Engineering and Design, Technical University of Munich (TUM), Garching, Munich, 85748, Germany
  • Dept. of Mechanical Engineering, Faculty of Engineering, Aydin Adnan Menderes University, Aydin, Turkey
  • Alprobotics Inc., Co-founder, Aydin, Türkiye
autor
  • Alpler Agricultural Machinery, R&D Manager, Aydin, Türkiye
Bibliografia
  • [1] W. Linling, Z. Daqi, P. Wen, and Z. Youmin, “A Survey of Underwater Search for Multi-Target using Multi-AUV: Task Allocation, Path Planning, and Formation Control,” Ocean Engineering, vol. 278, 2023, 114393; doi: 10.1016/j.oceaneng.2023.114393.
  • [2] E.S. Ali et al., “A Systematic Review on Energy Efficiency in the Internet of Underwater Things (IoUT): Recent Approaches and Research Gaps,” Journal of Network and Computer Applications, vol. 213, 2023, pp. 1–22, 103594; doi: 10.1016/j.jnca.2023.103594.
  • [3] B. Zhang et al., “Autonomous Underwater Vehicle Navigation: A Review,” Ocean Engineering, vol. 273, 2023, 113861, pp. 1–29; doi: 10.1016/j.oceaneng.2023.113861.
  • [4] A. Bahr, J.J. Leonard, and A. Martinoli, “Dynamic Positioning of Beacon Vehicles for Cooperative Underwater Navigation,” In: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, pp. 3760–3767; doi: 10.1109/IROS.2012.6386168.
  • [5] C. German et al., “Hydrothermal Exploration with the Autonomous Benthic Explorer,” Deep Sea Research Part I: Oceanographic Research Papers, vol. 55, 2008, pp. 203–219; doi: 10.1016/j.dsr.2007.11.004.
  • [6] B. Allotta et al., “The ARROWS Project: Robotic Technologies for Underwater Archaeology,” IFAC-PapersOnLine; vol. 48, no. 2, 2015, pp. 194–199, ISSN 2405-8963; doi: 10.1016/j.ifacol.2015.06.032.
  • [7] F. Schill, A. Bahr, and A. Martinoli, “Vertex: A New Distributed Underwater Robotic Platform for Environmental Monitoring,” In: Distributed Autonomous Robotic Systems. Springer Proceedings in Advanced Robotics, vol. 6, Cham:Springer, 2018; doi: 10.1007/978-3-319-73008-0_47.
  • [8] R. Katzschmann et al., “Exploration of Under-water Life with an Acoustically Controlled Soft Robotic Fish,” Science Robotics, vol. 3 no. 16, 2018, eaar3449; doi: 10.1126/scirobotics.aar3449.
  • [9] T. Wu et al., “ A Hydrothermal Investigation System for the Qianlong-II Autonomous Underwater Vehicle,” Acta Oceanologica Sinica; vol. 38, 2019, pp. 159–165; doi: 10.1007/s13131-019-1408-4.
  • [10] G. Li et al., “Self-Powered Soft Robot in the Mariana Trench,” Nature, vol. 591, 2021, pp. 66–71; doi: 10.1038/s41586-020-03153-z.
  • [11] A. Palomer, P. Ridao, and D. Ribas, “Multibeam 3D Underwater SLAM with Probabilistic Registration,” Sensors, vol. 16, no. 4, 2016:560; doi: 10.3390/s16040560.
  • [12] R. Kimura et al., “Guidance and Control of an Autonomous Underwater Robot for Tracking and Monitoring Spilled Plumes of Oil and Gas from Seabed,” In: The Twenty-Third International Offshore and Polar Engineering Conference. OnePetro, 2013, pp. 366–371.
  • [13] G. Marani, S.K. Choi, and J. Yuh, “Underwater Autonomous Manipulation for Intervention Missions AUVs,” Ocean Engineering, vol. 36, no. 1, 2009, pp. 15–23; doi: 10.1016/j.oceaneng.2008.08.007.
  • [14] M.J. Hamilton, S. Kemna, and D. Hughes, “Antisubmarine Warfare Applications for Autonomous Underwater Vehicles: The GLINT09 Sea Trial Results,” J. Field Robotics; vol. 27, 2010, pp. 890–902; doi: 10.1002/rob.20362.
  • [15] D.P. Williams, “On Optimal AUV Track-Spacing for Underwater Mine Detection,” In: 2010 IEEE International Conference on Robotics and Automation, IEEE, 2010, pp. 4755–4762; doi: 10.1109/ROBOT.2010.5509435.
  • [16] M. Prats et al., “Reconfigurable AUV for Inter- vention Missions: A Case Study on Underwater Object Recovery,”Intelligent Service Robotics, vol. 5, 2012, pp. 19–31; doi: 10.1007/s11370-011-0101-z.
  • [17] G. Casalino et al., “Underwater Intervention Robotics: An Outline of the Italian National Project MARIS,” Marine Technology Society Journal, vol. 50, 2016, pp. 98–107; doi: 10.4031/MTSJ.50.4.7.
  • [18] G. Ozer, “Development of Autonomous Under-water Vehicle,” Unpublished M.Sc. Thesis, 2023-M.Sc.-032. Aydın Adnan Menderes University, Türkiye, 2023.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e7c10a46-604b-418a-94da-bc871d0ef90a
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