Abstract
The paper presents an application of artificial neural network to control the position of the end of the rope. The proposed model allows stabilization of payload at a given depth despite the sea waves and the sea currents. The flexible rope is discretized by means of the one of the modifications of rigid finite element method. For each element of a rope submerged in water, the hydrodynamics forces are taken into account. The MLP and the RBF types of ANN network are considered. Selection of ANN network architecture and calculation of neurons weights has been made in own software. The influence of the sea environment, vessel velocity and lumped mass at the end of the rope on the displacement of the end of the rope is discussed.
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References
Adamiec-Wójcik I (2003) Modelling dynamics of multibody systems using homogenous transformations. Rozprawy naukowe Nr 3. Zeszyty Naukowe ATH.
Drąg Ł (2015) Model of an artificial neural network for payload positioning in sea waves. Journal of Ocean Engineering, Resubmit.
Drąg Ł (2015) Application of dynamic optimisation to the trajectory of a cable-suspended load Nonlinear Dynamics, Resubmit.
Kruszewski J, Gawroński W, Wittbrodt E, Najbar F, Grabowski S (1975) Metoda sztywnych elementów skończonych. (The rigid finite element method). Arkady: Warszawa.
Kruszewski J, Sawiak S, Wittbrodt E (1999) Metoda sztywnych elementów skończonych w dynamice konstrukcji. (The rigid finite element method for construction dynamics) WNT: Warszawa.
Osowski S (2013) Sieci neuronowe do przetwarzania informacji. (Neural networks for information processing). OWPW: Warszawa.
Wittbrodt E, Adamiec-Wójcik I, Wojciech S (2006) Dynamics of flexible multibody systems. The rigid finite element method. Springer: Berlin.
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Drąg, Ł. (2016). Artificial Neural Network for Stabilization of the Flexible Rope Submerged in Sea Water. In: Awrejcewicz, J. (eds) Dynamical Systems: Theoretical and Experimental Analysis. Springer Proceedings in Mathematics & Statistics, vol 182. Springer, Cham. https://doi.org/10.1007/978-3-319-42408-8_8
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DOI: https://doi.org/10.1007/978-3-319-42408-8_8
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