Please use this identifier to cite or link to this item: https://doi.org/10.1109/TII.2012.2205933
Title: Energy-efficient thrust allocation for semi-submersible oil rig platforms using improved harmony search algorithm
Authors: Yadav, P. 
Kumar, R.
Panda, S.K. 
Chang, C.S. 
Keywords: Dynamic positioning (DP)
genetic algorithm (GA)
harmony search (HS)
optimization
thrust allocation problem
Issue Date: 2012
Source: Yadav, 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
Abstract: In 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.
Source Title: IEEE Transactions on Industrial Informatics
URI: http://scholarbank.nus.edu.sg/handle/10635/55877
ISSN: 15513203
DOI: 10.1109/TII.2012.2205933
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