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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18675
Title: Optimal design of induction motor for a spinning machine using population based metaheuristics
Authors: Thangaraj R.
Chelliah, Thanga Raj
Bouvry P.
Pant M.
Abraham A.
Published in: Proceedings of 2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010
Abstract: This paper deals with the design optimization of a squirrel-cage three-phase induction motor, selected as the driving power of spinning machine in textile industry, using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Efficiency, which decides the operating or running cost of the motor (industry), is considered as objective function. First, the algorithms are applied to design a general purpose motor with seven variables and nine performance related parameters with their nominal values as constraints. To make the machine feasible, practically acceptable to serve in textile industries and less operating cost, certain constraints are modified in accordance with the demands in spinning application. Comparison of the optimum designs with the industrial (existing) motor reveals that the motor designed for textile load diagram consumes less power input. Economical analysis is also given. ©2010 IEEE.
Citation: Proceedings of 2010 International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2010, (2010), 341- 346. Krackow
URI: https://doi.org/10.1109/CISIM.2010.5643638
http://repository.iitr.ac.in/handle/123456789/18675
Issue Date: 2010
Keywords: Design optimization
Genetic algorithms
Induction motor
Particle swarm optimization
Spinning machine
ISBN: 9.78142E+12
Author Scopus IDs: 24345289500
35755335100
6603233977
23467551900
7202760099
Author Affiliations: Thangaraj, R., Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg, Luxembourg
Chelliah, T.R., Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg, Luxembourg
Bouvry, P., Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg, Luxembourg
Pant, M., Department of Paper Technology, Indian Institute of Technology, Roorkee, India
Abraham, A., Machine Intelligent Research Labs. (MIR Labs.), Scientific Network for Innovation and Research Excellence, United States
Corresponding Author: Thangaraj, R.; Faculty of Science, Technology and Communications, University of Luxembourg, Luxembourg, Luxembourg; email: t.radha@ieee.org
Appears in Collections:Conference Publications [WR]

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