dc.contributor.author | Gu, Peter | |
dc.contributor.author | Walid, Ahmed Ahmed | |
dc.contributor.author | Iskandarani, Yousef | |
dc.contributor.author | Karimi, Hamid Reza | |
dc.date.accessioned | 2013-05-02T08:55:56Z | |
dc.date.available | 2013-05-02T08:55:56Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Gu, P., Walid, A. A., Iskandarani, Y., & Karimi, H. R. (2013). Modeling, simulation and design optimization of a hoisting rig active heave compensation system. International Journal of Machine Learning and Cybernetics, 4(2), 85-98. doi: 10.1007/s13042-012-0076-x | no_NO |
dc.identifier.issn | 1868-8071 | |
dc.identifier.uri | http://hdl.handle.net/11250/136942 | |
dc.description | Published version of an article in the journal: International Journal of Machine Learning and Cybernetics. Also available from the publisher at: http://dx.doi.org/10.1007/s13042-012-0076-x | no_NO |
dc.description.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. | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Springer | no_NO |
dc.subject | active heave compensation (AHC) | no_NO |
dc.subject | draw-works | no_NO |
dc.subject | hoisting rig | no_NO |
dc.subject | modeling | no_NO |
dc.subject | simulation | no_NO |
dc.title | Modeling, simulation and design optimization of a hoisting rig active heave compensation system | no_NO |
dc.type | Journal article | no_NO |
dc.type | Peer reviewed | no_NO |
dc.subject.nsi | VDP::Technology: 500::Materials science and engineering: 520 | no_NO |
dc.source.pagenumber | 85-98 | no_NO |
dc.source.volume | 4 | no_NO |
dc.source.journal | International Journal of Machine Learning and Cybernetics | no_NO |
dc.source.issue | 2 | no_NO |
dc.identifier.doi | 10.1007/s13042-012-0076-x | |