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International Journal of Machine Learning and Cybernetics
Published 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

Authors: Peter Gu, Ahmed Ahmed Walid, Yousef Iskandarani, Hamid Reza Karimi

Published in: International Journal of Machine Learning and Cybernetics | Issue 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.
next article DE/isolated/1: a new mutation operator for multimodal optimization with differential evolution

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Appendix
Available only for authorised users
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Metadata
Title
Modeling, simulation and design optimization of a hoisting rig active heave compensation system
Authors
Peter Gu
Ahmed Ahmed Walid
Yousef Iskandarani
Hamid Reza Karimi
Publication date
01-04-2013
Publisher
Springer-Verlag
Published in
International Journal of Machine Learning and Cybernetics / Issue 2/2013
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0076-x

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