Proceedings of the International Ship Control Systems Symposium (iSCSS)
Published October 3, 2018 | Version v1
Conference paper Open

Energy efficient propulsion system for dynamic positioning application: design and assessment

Authors/Creators

  • 1. Naval Architecture, Ocean & Marine Engineering Strathclyde University, Glasgow G1 1XW, UK
  • 2. Department of Naval Architecture, Electric, Electronic, and Telecommunication Engineering, University of Genoa, Genoa 16145, Italy

Description

Dynamic positioning systems are most commonly used in offshore operations. They provide an automated controlling of position and heading of the vessel using its own thrusters to compensate environmental disturbances. The allocation of total required force over the available actuators is a complex task, as DP-systems are over-actuated. Therefore, one of the main challenges faced by the industry is constantly seeking to improve the systems efficiency for both sustainability and economic reasons. Furthermore, it is important to evaluate the performance of a DP vessel under critical conditions. In this paper, the authors aim to compare different thrust allocation logics based on the optimisation of different objective functions. Using a simple validation tool, the authors were able to investigate the overall efficiency of a dynamic positioning propulsion system and its ability to operate when a failure occurs. 

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References

  • M. Altosole, S. Donnarumma, V. Spagnolo, and S. Vignolo. Marine cycloidal propulsion modelling for dp applications. 7th International Conference on Computational Methods in Marine Engineering, MARINE 2017, 2017-May:206–219, 2017.
  • M. Altosole, M. Figari, and M. Martelli. Time-domain simulation for marine propulsion applications. Proceedings of the 2012 - Summer Computer Simulation Conference, SCSC 2012, Part of SummerSim 2012 Multiconference, 44, 2012.
  • International Marine Contractors Association. Specification for dp capability plots. IMCA M, 140, 2000.
  • C. De Wit. Optimal thrust allocation methods for dynamic positioning of ships. Delft University of Technology, Netherlands, 2009.
  • S. Donnarumma, M. Figari, M. Martelli, S. Vignolo, and M. Viviani. Design and validation of dynamic positioning for marine systems: A case study. IEEE Journal of Oceanic Engineering, pages 1–12, 2017.
  • T. I. Fossen and T. A. Johansen. A survey of control allocation methods for ships and underwater vehicles. In Control and Automation, 2006. MED'06. 14th Mediterranean Conference on, pages 1–6. IEEE, 2006.
  • F.W. Glover and G.A. Kochenberger. Handbook of metaheuristics, volume 57. Springer Science & Business Media, 2006.
  • N. A. Jenssen and B. Realfsen. Power optimal thruster allocation. In Proc. dynamic positioning conference, Houston, 2006.
  • T. A. Johansen and T. I. Fossen. Control allocationa survey. Automatica, 49(5):1087–1103, 2013.
  • T. A. Johansen, T. I. Fossen, and S. P. Berge. Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming. IEEE Transactions on Control Systems Technology, 12(1):211–216, 2004.
  • Ayman B. M. and Hussein W. On the use of the capability polar plots program for dynamic positioning systems for marine vessels. Ocean Engineering, 33(8):1070 – 1089, 2006.
  • F. Mauro and R. Nabergoj. Advantages and disadvantages of thruster allocation procedures in preliminary dynamic positioning predictions. Ocean Engineering, 123:96–102, 2016.
  • M. Rindaroey. Fuel optimal thrust allocation in dynamic positioning. Master's thesis, Institutt for teknisk kybernetikk, 2013.
  • E. Ruth. Propulsion control and thrust allocation on marine vessels. 2008.
  • S. Wang and S. Donnarumma. Drift-off and drive-off assessment of a dynamically positioned drillship. Proceedings of the 17th Offshore Symposium: Pushing Boundaries in the Global Industry, pages D23–D31, 2012.
  • L. Zhao and M. Roh. A thrust allocation method for efficient dynamic positioning of a semisubmersible drilling rig based on the hybrid optimization algorithm. Mathematical Problems in Engineering,2015,2015.