Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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Development and Experimental Evaluation of a Ship Berthing System Using Active Fenders

능동형 펜더 기반의 접안지원시스템 개발 및 실선실험

  • Kim, Chang-Woo (Korea Institute of Maritime and Fisheries Technology) ;
  • Lee, Dong-Hun (Graduate School, Pukyong National University) ;
  • Park, Jung-Suk (Graduate School, Pukyong National University) ;
  • Kim, Young-Bok (Department of Mechanical System Engineering, Pukyong National University)
  • Received : 2020.10.21
  • Accepted : 2020.11.09
  • Published : 2020.12.31
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Abstract

Maneuvering vessels in the harbor is an interesting problem in marine cybernetics. The vessel, operated by the pilot and moving very slowly in shallow water, usually is assisted by thrusters, the main propulsion system, and tugboats. In this paper, we suggest a new vessel berthing technique using dampers (cylinder-type fenders) and a system of winches for complex and dangerous berthing situations. We found that control of the fender stroke and rope tension enabled a safe and quick berthing process. The effectiveness and usefulness of this berthing system was verified using a ship of about 2,000 tons.

선박 운용에 있어 가장 어려운 과정 중의 하나가 접안작업이고, 따라서 도선사 및 예인선의 도움이 반드시 필요하다. 그 외 접안작업을 도울 수 있는 도구는 안벽에 설치된 고무형 펜더가 전부라 할 수 있다. 이러한 고무형 펜더의 한계를 극복하기 위해 짧은 범위에서 길이조정이 가능한 펜더기술이 개발되었으나 여전히 접안작업의 불편함은 크게 해소되지 못한 실정이다. 따라서 본 논문에서는, 접안작업의 안전성과 신속성을 개선할 수 있는 새로운 개념의 접안지원기술을 제안한다. 실린더형 펜더와 윈치시스템으로 구성하였으며, 펜더 스트로크 및 윈치-로우프의 장력조정으로 접안선박의 이동속도 및 안벽과의 거리제어가 가능하다. 또한 이동식으로 구성하여 선박의 접안위치에 따라 신속하게 대응할 수 있다. 개발한 시스템의 유용성을 평가하기 위해 실선을 대상으로 한 현장실험을 수행하였으며, 그 결과를 본 논문에서 소개한다.

Keywords

References

  1. Bae, C. H., Lee, S. K., Lee, S. E. and Kim, H.(2008), "A Study of the Automatic Berthing System of a Ship Using Artificial Neural Network", Journal of Navigation and Port Research, Vol. 38, No. 8, pp. 589-596.
  2. Bui, V. P. and Kim, Y. B.(2011a), "Development of Constrained Control Allocation for Ship Berthing by Using Autonomous Tugboats", International Journal of Control Automation and Systems, Vol. 9, No. 6, pp. 1203-1208. https://doi.org/10.1007/s12555-011-0622-4
  3. Bui, V. P., Jenog, J. H., Kim, Y. B. and Kim, D. W.(2010), "Optimal Control Design for Automatic Ship Berthing by Using Bow and Stern Thrusters", Journal of Ocean Engineering and Technology, Vol. 24, No. 2, pp. 10-17.
  4. Bui, V. P., Kawai, H., Kim, Y. B. and Lee, K. S.(2011b), "A Ship Berthing System Design with Four Tug Boats", Journal of Mechanical Science and Technology, Vol. 25, No. 5, pp. 1257-1264. https://doi.org/10.1007/s12206-011-0215-4
  5. CAVOTEC, https://www.cavotec.com/en/
  6. Hasegawa, K. and Fukutomi, T.(1994), "On Harbour Maneuvering and Neural Control System for Berthing with Tug Operation", Proceedings of International Conference Maneuvering and Control of Marine Craft, pp. 197-210.
  7. Kim, Y. B.(2015), Movable Fender System, Korean Patent Registration No. 1015664820000.
  8. Kim, K. H., Kim, B. G. and Kim, Y. B.(2018), "A Study on the Optimal Tracking Control System Design for Automatic Ship Berthing", Journal of the Korean Society for Power System Engineering, Vol. 22, No. 4, pp. 72-80.
  9. Kim, Y. B., Choi, Y. W. and Chae, G. H.(2006a), "A Study on the Development of Automatic Ship Berthing System", Proceedings of the Korean Society for Power System Engineering Autumn Conference, pp. 419-423.
  10. Kim, Y. B., Choi, Y. W., Suh, J. H. and Lee, K. S.(2006b), "A Study on the Development of the Real-Time Detection Technique for Automatic Ship Berthing", Proceedings of the Korean Society for Power System Engineering Spring Conference, pp. 306-313.
  11. Nguyen, V. S. and Im, N. K.(2019), "Automatic Ship Berthing based on Fuzzy Logic", International Journal of Fuzzy Logic and Intelligent Systems, Vol. 19, No. 3, pp. 163-171. https://doi.org/10.5391/ijfis.2019.19.3.163
  12. Zhang, Y., Hearn, G. E. and Sen, P.(1997), "A Multivariable Neural Controller for Automatic Ship Berthing", IEEE Control Systems, Vol. 17, No. 2, pp. 31-45. https://doi.org/10.1109/37.608535