DESIGN OPTIMIZATION OF INDUCTION MOTORS WITH DIFFERENTIAL EVOLUTION ALGORITHMS WITH AN APPLICATION IN TEXTILE SPINNING |
| |
| Authors: | C. Thanga Raj Radha Thangaraj Millie Pant Pascal Bouvry Ajith Abraham |
| |
| Affiliation: | 1. Indian Institute of Technology Roorkee , Roorkee , India thangfwt@iitr.ernet.in;3. Indian Institute of Technology Roorkee , Roorkee , India;4. Faculty of Science, Technology and Communications , University of Luxembourg , Luxembourg;5. Machine Intelligent Research Labs (MIR Labs) , Scientific Network for Innovation and Research Excellence , Auburn , Washington , USA;6. VSB–Technical University of Ostrava , Ostrava , Poruba , Czech Republic |
| |
| Abstract: | This article deals with the design optimization of a squirrel-cage three-phase induction motor, selected as the driving power of spinning machines in the textile industry, using three newly developed versions of differential evolution (DE) algorithms called modified DE versions (CMDE, GMDE, and LMDE). Efficiency, which decides the operating or running cost of the motor (industry), is considered as the 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 costly to operate, certain constraints are modified in accordance with the demands of the spinning application. Comparison of the optimum designs with the industrial (existing) motor reveals that the motor designed by the proposed algorithms consumes less power input. |
| |
| Keywords: | |
|
|
