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Dynamic Positioning Capability Assessment for Ship Design Purposes

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Intelligent and Safe Computer Systems in Control and Diagnostics (DPS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 545))

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Abstract

The article focuses on solving a problem of optimal thrust distribution over the actuators in a ship Dynamic Positioning, according to DNV-ST-0111 standard, Level 1. The classic Quadratic Programming approach is combined with the numerical solusion used to handle the propeller with the rudder constraints in the optimization task and the influence between thrusters and skeg. It is presented as an efficient method of minimizing the power consumption. The resulting tool for performing a Dynamic Positioning capability assessment allows for fast calculations to qualitatively compare different designs. The study has proven that the Quadratic Programming based method gives less optimistic solution in comparison with DNV tool and can be safely applied at an early design stage. Further validation of the tool with the time-domain simulations would contribute to increasing confidence in its application to the daily routine calculations.

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Notes

  1. 1.

    The free version of the application is limited to analysis of maximum four thrusters and does not share detailed results, just the DP capability plot.

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Authors and Affiliations

  1. Gdańsk University of Technology, ul. G. Narutowicza 11/12, 80-233, Gdańsk, Poland

    Agnieszka Piekło, Anna Witkowska & Tomasz Zubowicz

  2. Maritime Advances Research Centre, Gdańsk, Poland

    Agnieszka Piekło

Authors
  1. Agnieszka Piekło
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  2. Anna Witkowska
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  3. Tomasz Zubowicz
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Corresponding author

Correspondence to Agnieszka Piekło .

Editor information

Editors and Affiliations

  1. Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdańsk, Poland

    Zdzislaw Kowalczuk

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Piekło, A., Witkowska, A., Zubowicz, T. (2023). Dynamic Positioning Capability Assessment for Ship Design Purposes. In: Kowalczuk, Z. (eds) Intelligent and Safe Computer Systems in Control and Diagnostics. DPS 2022. Lecture Notes in Networks and Systems, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-16159-9_31

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