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http://dx.doi.org/10.5370/JEET.2015.10.3.1007

Genetic Algorithm Based Design Optimization of a Six Phase Induction Motor  

Fazlipour, Z. (Dept. of Electrical and Electronic Engineering, Shahid Chamran University of Ahvaz)
Kianinezhad, R. (Dept. of Electrical and Electronic Engineering, Shahid Chamran University of Ahvaz)
Razaz, M. (Dept. of Electrical and Electronic Engineering, Shahid Chamran University of Ahvaz)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.3, 2015 , pp. 1007-1014 More about this Journal
Abstract
An optimally designed six-phase induction motor (6PIM) is compared with an initial design induction motor having the same ratings. The Genetic Algorithm (GA) method is used for optimization and multi objective function is considered. Comparison of the optimum design with the initial design reveals that better performance can be obtained by a simple optimization method. Also in this paper each design of 6PIM, is simulated by MAXWELL_2D. The obtained simulation results are compared in order to find the most suitable solution for the specified application, considering the influence of each design upon the motor performance. Construction a 6PIM based on the information obtained from GA method has been done. Quality parameters of the designed motors, such as: efficiency, power losses and power factor measured and optimal design has been evaluated. Laboratory tests have proven the correctness of optimal design.
Keywords
Optimization design; Six phase induction motor; Objective function; Genetic algorithm; FEM;
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