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자율무인잠수정의 항법성능 사전 검증을 위한 시험치구 개발

Development of Test-Equipment for AUVs' Navigation Performance Pre-verification

  • 투고 : 2023.06.30
  • 심사 : 2023.08.15
  • 발행 : 2023.11.30

초록

This paper describes the development of a test-equipment for the pre-verification of navigation performance in cluster-based AUVs (Autonomous Underwater Vehicle). In the development of an AUV, conducting hardware and software development sequentially is not efficient due to the limited research and development period. Therefore, in order to reduce the overall development time and achieve successful development results, it is essential to pre-validate the navigation system and navigation algorithms. Accordingly, this paper explains the test-equipment for pre-verification of navigation performance, and ultimately confirms the stability of the navigation system and the performance of the navigation algorithms through the analysis of five types of navigation sensor data stored during real-sea experiments. The results demonstrate that through the development and verification of the test-equipment, it is possible to shorten the overall development period and improvement of product quality in the process of developing multiple AUVs.

키워드

과제정보

This research was supported by AUV Fleet and its Operation System Development for Quick Response of Search on Marine Disasters of Korea Institute of Marine Science & Technology Promotion (KIMST) funded by the Korea Coast Guard Agency (KIMST-20210547)

참고문헌

  1. B. Jun, P. Lee, and Y. Lim, "Trends in the Cruising-Type AUVs Technologies," Journal of the Korean Society for Precision Engineering, vol. 26, no. 5, pp. 14-22, May, 2009, [Online], https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01180732. 
  2. X. Cao, H. Sun, and G. E. Jan, "Multi-AUV cooperative target search and tracking in unknown underwater environment," Ocean Engineering, vol. 150, no. 15, pp. 1-11, Feb., 2018, DOI: 10.1016/j.oceaneng.2017.12.037. 
  3. B. Xin, J. Zhang, J. Chen, Q. Wang, and Y. Qu, "Overview of Research on Transformation of Multi-AUV Formations," Complex System Modeling and Simulation, vol. 1, no. 1, pp. 1-14, Mar., 2021, DOI: 10.23919/CSMS.2021.0003. 
  4. E. Soria, F. Schiano, and D. Floreano, "SwarmLab: a Matlab Drone Swarm Simulator," 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, pp. 8005-8011, 2020, DOI: 10.1109/IROS45743.2020.9340854. 
  5. A. E. Turgut, H. Celikkanat, F. Gokce, and E. Sahin, "Self-organized flocking in mobile robot swarms," Swarm Intelligence, pp. 97-120, Aug., 2008, DOI: 10.1007/s11721-008-0016-2. 
  6. S. Lee, W. Chung, M. Kim, S.-P. Lee, C.-H. Lee, S. Kim, and H. Son, "Path Planning for Search and Surveillance of Multiple Unmanned Aerial Vehicles," The Journal of Korea Robotics Society, vol. 18, no. 1, pp. 1-9, Feb., 2023, DOI: 10.7746/jkros.2023.18.1.001. 
  7. D. Kim and B. Choi, "The Development and Experimentation of Unmanned Surface Vehicles (USV) for Swarm Operation," Journal of Institute of Control, Robotics and Systems, vol. 28, no. 5, pp. 420-426, Mar., 2022, DOI: 10.5302/J.ICROS.2022.22.0023. 
  8. D. Choi, D. Kim, M. Kim, B. Choi, M. Jung, and Y. Choi, "Design and Implementation of Wireless Communication Topology for Swarm Unmanned Surface Vehicle(USV) Operation," The Journal of Korean Institute of Information Technology, vol. 20, no. 8, pp. 79-89, Aug., 2022, DOI: 10.14801/jkiit.2022.20.8.79. 
  9. K. Choi, G. Lee, P.-Y. Lee, H. S. Kim, H. Lee, D. Park, and J. Lee, "Localization Algorithm of Multiple-AUVs Utilizing Relative 3D Observations," Journal of Korea Robotics Society, vol. 17, no. 2, pp. 110-117, Jun., 2022, DOI: 10.7746/jkros.2022.17.2.110. 
  10. G. Lee, K. Choi, P.-Y. Lee, H. S. Kim, H. Lee, D. Park, and J. Lee, "Precise Localization of Multiple-AUVs through Reliability Assessment of Relative Observations," Journal of Institute of Control, Robotics and Systems, vol. 28, no. 6, pp. 558-565, Jun., 2022, DOI: 10.5302/J.ICROS.2022.22.0015. 
  11. H. Kang, G. R. Cho, M.-G. Kim, M.-J. Lee, J.-H. Li, H. S. Kim, H. Lee, and G. Lee, "Mission Management Technique for Multi-sensor-based AUV Docking," Journal of Ocean Engineering and Technology, vol. 36, no. 3, pp. 181-193, May, 2022, DOI: 10.26748/KSOE.2022.001. 
  12. G. Lee, P.-Y. Lee, H. S. Kim, H. Lee, H. Kang, and J. Lee, "Robust AUV Localization Incorporating Parallel Learning Module," The Journal of Korea Robotics Society, vol. 16, no. 4, pp. 306-312, Dec., 2021, DOI: 10.7746/jkros.2021.16.4.306. 
  13. J. Choo, G. Lee, P.-Y. Lee, H. S. Kim, H. Lee, D. Park, and J. Lee, "Position Based In-Motion Alignment Method for an AUV," Journal of Institute of Control, Robotics and Systems, vol. 26, no. 8, pp. 649-659, Aug., 2020, DOI: 10.5302/J.ICROS.2020.20.0071.