Please use this identifier to cite or link to this item: https://doi.org/10.1109/TII.2012.2205933
DC FieldValue
dc.titleEnergy-efficient thrust allocation for semi-submersible oil rig platforms using improved harmony search algorithm
dc.contributor.authorYadav, P.
dc.contributor.authorKumar, R.
dc.contributor.authorPanda, S.K.
dc.contributor.authorChang, C.S.
dc.date.accessioned2014-06-17T02:48:09Z
dc.date.available2014-06-17T02:48:09Z
dc.date.issued2012
dc.identifier.citationYadav, P., Kumar, R., Panda, S.K., Chang, C.S. (2012). Energy-efficient thrust allocation for semi-submersible oil rig platforms using improved harmony search algorithm. IEEE Transactions on Industrial Informatics 8 (4) : 913-924. ScholarBank@NUS Repository. https://doi.org/10.1109/TII.2012.2205933
dc.identifier.issn15513203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55877
dc.description.abstractIn this paper, the thrust allocation problem for semi-submersible oil rig platform is formulated as an optimization problem, with an objective to minimize the power consumption. The electrical power consumed by the oil rig platform depends on the thrust generated by the thrusters and the efficiency of the electrical propulsion system. A detailed mathematical model to compute the efficiency of the electrical propulsion system is developed and the numerical results obtained are compared with experimental test results. The formulated energy-efficient thrust allocation problem is solved using Improved Harmony Search (IHS) algorithm. The percentage savings in total power consumption for the oil rig platform as compared to the Mincon method for Genetic Algorithm (GA), Harmony Search (HS), and IHS methods are 48.76%, 51.13%, and 53.90%, respectively. In addition, the total power consumption for energy-efficient thrust allocation approach is lesser as compared to conventional thrust allocation approach for all the considered algorithms. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TII.2012.2205933
dc.sourceScopus
dc.subjectDynamic positioning (DP)
dc.subjectgenetic algorithm (GA)
dc.subjectharmony search (HS)
dc.subjectoptimization
dc.subjectthrust allocation problem
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TII.2012.2205933
dc.description.sourcetitleIEEE Transactions on Industrial Informatics
dc.description.volume8
dc.description.issue4
dc.description.page913-924
dc.identifier.isiut000310388400019
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