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Erschienen in: International Journal of Machine Learning and Cybernetics 2/2013

01.04.2013 | Original Article

Modeling, simulation and design optimization of a hoisting rig active heave compensation system

verfasst von: Peter Gu, Ahmed Ahmed Walid, Yousef Iskandarani, Hamid Reza Karimi

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 2/2013

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Abstract

The objective of this paper is to present an approach in developing a virtual active heave compensation system for a draw-works on a hoisting rig. A virtual system enables quicker overall product development time of a physical system as well as flexibility in optimizing the design parameters. Development of the virtual system started with the modelling of the draw-works and hoisting rig dynamics. Simulations of this model were run in two operational modes while subject to a sinusoidal wave: heave compensation and seabed landing of a payload. The results were analyzed and used for optimization in terms of cost and performance. This lays the groundwork for further testing either through hardware-in-the-loop testing (HIL) or using an actual prototype.

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Metadaten
Titel
Modeling, simulation and design optimization of a hoisting rig active heave compensation system
verfasst von
Peter Gu
Ahmed Ahmed Walid
Yousef Iskandarani
Hamid Reza Karimi
Publikationsdatum
01.04.2013
Verlag
Springer-Verlag
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 2/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0076-x

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