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A Short Term Simulator for Vessel Manoeuvres Prediction

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 409))

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Abstract

This paper presents a methodology for vessels manoeuvring prediction during navigation. The proposed algorithm allows to estimate future position and heading of the vessel on the basis of present position, velocity, propeller speed and rudder angle. The prediction algorithm, which can be very useful in emergency manoeuvres, uses a short term simulator which has been tuned up and validated in the framework of the Costa Concordia cruise ship trial. However, the methodology could be applied to any kind of ship, since it just requires a set of data recorded during a set of mandatory sea trials performed before the delivery of the ship. The prediction algorithm shows, on the electronic navigation chart, the foreseen position of the ship in the next 30–40 s, provided that helm and power settings remain unchanged, allowing the helmsman to check in advance the effect of the commands and to eventually modify the trajectory.

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References

  1. ITTC: Recommended Procedures-Testing and Extrapolation Methods-Manoeuvrability Validation of Manoeuvring Simulation Models, (1999)

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  4. Neri, P., Piccinelli, M., Gubian, P., Neri, B.: A ahip motion short term time domain simulator and its application to Costa Concordia emergency manoeuvres just before the January 2012 accident. Proceedings of 28th ECMS, Brescia (2014)

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Correspondence to Paolo Neri .

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© 2017 Springer International Publishing AG

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Neri, P., Neri, B. (2017). A Short Term Simulator for Vessel Manoeuvres Prediction. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2016. Lecture Notes in Electrical Engineering, vol 409. Springer, Cham. https://doi.org/10.1007/978-3-319-47913-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-47913-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47912-5

  • Online ISBN: 978-3-319-47913-2

  • eBook Packages: EngineeringEngineering (R0)

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