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A Basic Study on Connected Ship Navigation System

  • Choi, Wonjin (Graduate School of Korea Maritime and Ocean University) ;
  • Jun, Seung-Hwan (Division of Navigation Science, Korea Maritime and Ocean University)
  • Received : 2020.04.08
  • Accepted : 2020.04.30
  • Published : 2020.04.30

Abstract

Maritime autonomous surface ships (MASS) has been developed over the years. But, there are many unresolved problems. To overcome these problems, this study proposes connected ship navigation system. The system comprises a slave ship and a master ship that leads the slave ship. To implement this system, communication network, route planning algorithms, and controllers are designed. The communication network is built using the transmission control protocol/Internet protocol (TCP/IP) socket communication method to exchange data between ships. The route planning algorithms calculate the course and distance of the slave ship using the middle latitude sailing method. Nomoto model is used as the mathematical model of the slave ship maneuvering motion. Then, the autoregressive with exogenous variables (ARX) model is used to estimate the parameters of Nomoto model. Based on the above model, the automatic steering controller is designed using a proportional-derivative (PD) control. Also, the speed controller is designed for the slave ship to maintain constant distance from the master ship. Sea experiments are conducted to verify the proposed system with two remodeled boats.

Keywords

References

  1. Akaike, H.(1969), "Fitting autoregressive Models for Prediction", Annals of the Institute of Statistical Mathematics, Vol. 21, pp. 243-247. https://doi.org/10.1007/BF02532251
  2. Astrom, K. J. and Hagglund, T.(1984), "Automatic Tuning of Simple Regulators with Specifications on Phase and Amplitude Margins". Automatica, Vol. 20, No. 5, pp. 645-651. https://doi.org/10.1016/0005-1098(84)90014-1
  3. Astrom, K. J. and Hagglund, T.(1995), "PID Controllers: Theory, Design, and Tuning". 2nd Ed. Instrument Society of America.
  4. Fossen, T. I.(1994), "Guidance and Control of Ocean Vehicles", John Wiley & Sons.
  5. International Maritime Organization(IMO)(2018), "Report of the maritime safety committee on its ninety-ninth session(Agenda item 5)", MSC 99/22.
  6. International Maritime Organization(IMO)(2019), "Interim guidelines for MASS trials", MSC.1/Circ.1604.
  7. Kim, H. I.(2011), "A Study on Control of an Unmanned Surface Vehicle based on the Wireless Internet", Master's dissertation, Korea Maritime and Ocean University.
  8. Lee, C. Y., Kim, S. H. and Kim, W. S.(1985), "Some Considerations on the P.I.D. type Autopilot", Journal of Korean Navigation and Port Research, Vol. 9, No. 2, pp. 13-26.
  9. Liu, Y. and Bucknall, R.(2015), "Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment", Ocean Engineering, Vol. 97, pp. 351-358.
  10. Makela, H., Kaarmila, P. and Koskinen K.(1998), "Convoy Navigation", In: Salichs, M.A. and Halme, A., Proceedings of 3rd of IFAC Symposium on Intelligent Autonomous Vehicles, Madrid, March 25-27, 1998, Oxford: Pergamon, pp. 627-632.
  11. Ministry of Oceans and Fisheries(2019), Fourth Industrial Revolution on the Sea, Embarked on a Maritime Autonomous Surface Ships Development Project, http://www.mof.go.kr.
  12. NYK Line(2019), NYK Conducts World's First Maritime Autonomous Surface Ships Trial, https://www.nyk.com.
  13. Park, H. Y.(2008), "Structural Local Damage Assessment using ARX Model of Accelaration Data", Master's dissertation, Inha University.
  14. Yara International(2018), YARA selects Norwegian shipbuilder VARD for zero-emission vessel Yara Birkeland, https://www.yara.com.
  15. Yoon, Y. J., Jun, S. H. and Moon, S. B.(2013) "Terrestrial Navigation", Maritime book publishing department of Korea Maritime and Ocean University.
  16. Ziegler, J. G. and Nichols, N. B.(1942), "Optimum Settings for Automatic Controllers". Trans. ASME, Vol. 64, No. 11, pp. 759-768.