Title: Power factor and motor efficiency optimisation of three-phase linear induction motor using NSGA-II algorithm

Authors: Soumya Ranjan; Sudhansu Kumar Mishra

Addresses: Department of Electrical Engineering, NIT Rourkela, Odisha 769008, India ' Department of Electrical and Electronics Engineering, BIT, Mesra, Ranchi, Jharkhand 835215, India

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.

Keywords: multi-objective optimisation; linear induction motors; LIM; power factor; power density; multi-objective evolutionary algorithms; single objective optimisation; NSGA-II; efficiency; genetic algorithms; motor efficiency; modelling; machine sizing; motor design.

DOI: 10.1504/IJSI.2016.081140

International Journal of Swarm Intelligence, 2016 Vol.2 No.2/3/4, pp.134 - 153

Received: 02 May 2015
Accepted: 11 Jan 2016

Published online: 24 Dec 2016 *

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