Power factor and motor efficiency optimisation of three-phase linear induction motor using NSGA-II algorithm Online publication date: Sat, 24-Dec-2016
by Soumya Ranjan; Sudhansu Kumar Mishra
International Journal of Swarm Intelligence (IJSI), Vol. 2, No. 2/3/4, 2016
Abstract: With the increment utilisation of electrical motors in industry and commercial applications, the modelling of machine sizing involves a wide design of parameters. The incrementing size integrates the cost of the material and low power factor. This causes reduced in machine efficiency and it becomes bulky. In order to design a three-phase linear induction motor, NSGA-II algorithm is implemented to amend both efficiency and power factor simultaneously while reducing the power density. Our method handles an analytical model of the machine to calculate the efficiency, power factor and power density while considering various objective constraints. Motor parameters and dimensions can then be optimised by engendering Pareto solutions utilising NSGA-II in a congruous objective function. To validate our optimisation method analysis results along with performance metrics is compared with various traditional techniques.
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