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Local optimization of thruster configuration based on a synthesized positioning capability criterion

  • Xu, Shengwen (State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE)) ;
  • Wang, Lei (State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE)) ;
  • Wang, Xuefeng (State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE))
  • Received : 2015.04.01
  • Accepted : 2015.08.31
  • Published : 2015.11.30

Abstract

DPCap analysis can assist in determining the maximum environmental forces the DP system can counteract for a given heading. DPCap analysis results are highly affected by the thrust forces provided by the thrust system which consists of several kinds of thrusters. The thrust forces and moment are determined by the maximum thrust of the thrusters as well as the thruster configuration. In this paper, a novel local optimization of thruster configuration based on a synthesized positioning capability criterion is proposed. The combination of the discrete locations of the thrusters forms the thruster configuration and is the input, and the synthesized positioning capability is the output. The quantified synthesized positioning capability of the corresponding thruster configuration can be generated as the output. The optimal thruster configuration is the one which makes the vessel has the best positioning capability. A software program was developed based on the present study. A local optimization of thruster configuration for a supply vessel was performed to demonstrate the effectiveness and efficiency of the program. Even though the program cannot find the global optimal thruster configuration, its high efficiency makes it essentially practical in an engineering point. It may be used as a marine research tool and give guidance to the designer of the thrust system.

Keywords

References

  1. American Petroleum Institute (API), 1987. Analysis of spread mooring systems for floating drilling units. Recommended Practice RP 2P-87. second ed. Washington, DC : American Petroleum Institute.
  2. De Wit, C., 2009. Optimal thrust allocation methods for dynamic positioning of ships. Master's thesis. Delft University of Technology.
  3. Faltinsen, O., 1990. Sea loads on ships and offshore structures. Cambridge (UK): Cambridge University Press.
  4. Fay, H., 1990. Dynamic positioning systems: principles, design and applications. Translated from the French by Nissim Marshall. Paris: Editions Technip.
  5. Fossen, T. and Johansen, T., 2006. A survey of control allocation methods for ships and underwater vehicles. Mediterranean Conference on Control and Automation, IEEE, Benaimcidena (Mcilaga), Spain, 28 June 2006, pp.1-6.
  6. Gosman, A., 1999. Developments in CFD for industrial and environmental applications in wind engineering. Journal of Wind Engineering and Industrial Aerodynamics, 81, pp.21-39. https://doi.org/10.1016/S0167-6105(99)00007-0
  7. Hwang, T.W., Park, C.S., Tahk, M.J. and Bang, H., 2003. Upper-stage launch vehicle servo controller design considering optimal thruster configuration. Proceedings of AIAA Guidance, Navigation, and Control Conference and Exhibit, Austin, Texas, 11 August 2003, pp.1-8.
  8. IMCA, 2000. Specification for DP capability plots. London: IMCA M140.
  9. Johansen, T.A., Fossen, T.I. and Berge, S.P., 2004. Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming. Control System Technology, IEEE Transitions, 12, pp.211-216. https://doi.org/10.1109/TCST.2003.821952
  10. Kim, J.S., Hong, C.B., Lee, D.Y. and Ahn, S.M., 2009. Prediction of current load using computational fluid dynamics. ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, Honolulu, USA, 31 May 2009, pp.359-366.
  11. Leite, A., Aranha, J., Umeda, C. and De Conti, M., 1998. Current forces in tankers and bifurcation of equilibrium of turret systems: hydrodynamic model and experiments. Applied Ocean Research, 20(3), pp.145-156. https://doi.org/10.1016/S0141-1187(98)00002-9
  12. Mahfouz, A.B. and El-Tahan, H.W., 2006. On the use of the capability polar plots program for dynamic positioning systems for marine vessels. Ocean engineering, 33(8-9), pp.1070-1089. https://doi.org/10.1016/j.oceaneng.2005.08.006
  13. Morgan, M.J., 1978. Dynamic positioning of offshore vessels. Tulsa, Oklahoma: Petroleum Publishing Co.
  14. Newman, J.N., 1977. Marine hydrodynamics. Cambridge (MA): MIT press.
  15. Pierrot, F., Benoit, M. and Dauchez, P., 1998. Optimal thruster configuration for Omni-directional underwater vehicles. OCEANS'98 Conference Proceedings, IEEE, Nice, France, 28 September 1998, pp.655-659.
  16. Pivano, L., Smogeli, O.N. and Vik, B., 2012. Dyncap-the next level dynamic DP capability analysis. Singapore: Marine Cybernetics AS.
  17. Servidia, P.A. and Sanchez Pena, R., 2002. Thruster design for position/attitude control of spacecraft. Aerospace and Electronic Systems, IEEE Transactions, 38, pp.1172-1180. https://doi.org/10.1109/TAES.2002.1145741
  18. Sorensen, Ronass, M., 2001. Mathematical modeling of dynamically positioned and thruster-assisted anchored marine vessels. The Ocean Engineering Handbook. Boca Raton: Ferial El-Hawary Ed.
  19. Vaz, G., Waals, O.J., Ottens, H., Fathi, F., Le Souef, T. and Kiu, K., 2009. Current affairs: Model tests, semi-empirical predictions and CFD computations for current coefficients of semi-submersibles. ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, Honolulu, USA, 31 May 2009, pp.877-887.
  20. Xu, S., Wang, X., Wang, L., Meng, S. and Li, B., 2015a. A thrust sensitivity analysis based on a synthesized positioning capability criterion in DPCap/DynCap analysis for marine vessels. Ocean Engineering, 108, pp.164-172. https://doi.org/10.1016/j.oceaneng.2015.08.001
  21. Xu, S., Wang, X., Wang, L. and Meng, S., 2015b. Applying the bisection search method to search the maximum environmental conditions in DPCap analysis for marine vessels. International Journal of Offshore and Polar Engineering, 25(2), pp.104-111.
  22. Zhang, S., Wang, L., Yang, S.Z. and Yang, H., 2010. Numerical evaluation of wind loads on semi-submersible platform by CFD. ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering, American Society of Mechanical Engineers, Shanghai, China, 6 June 2010, pp.169-175.

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