Open AccessGenetic Algorithm Based Design Optimization of a Six Phase Induction Motor
Author(s) -
Z. Fazlipour,
R. Kianinezhad,
Morteza Razaz
Publication year - 2015
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2015.10.3.1007
Subject(s) - induction motor , correctness , optimal design , genetic algorithm , power (physics) , control theory (sociology) , engineering , computer science , control engineering , mathematical optimization , algorithm , mathematics , voltage , physics , control (management) , quantum mechanics , machine learning , artificial intelligence , electrical engineering
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.