DocumentCode :
150310
Title :
A differential evolution algorithm for designing inverter-driven induction motors
Author :
Pina, Alejandro J. ; Longya Xu
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2014
fDate :
14-18 Sept. 2014
Firstpage :
279
Lastpage :
286
Abstract :
Induction Motors (IM) have been successfully used when variations of speed are required. The strategy preferred to control speed and torque accurately is based upon vector control. In this study, a new approach based upon Differential Evolution (DE) was developed in order to design a 55kW Induction Motor for variable speed applications, posteriorly, the performance of the final design was validated by means of Finite Element Method (FEM). Through simulations of Indirect Field Oriented Current Control (IFOCC) strategy, its behavior under variations of speed and load is verified. It was proved that by appropriately defining the constraints as well as cost functions, satisfactory geometries were obtained, which demonstrated maximum values of torque density. As a result, the algorithm based upon DE has capability of leading the induction motor geometry so that the machine behaves as expected when it is controlled by variable voltage and frequency.
Keywords :
differential equations; electric current control; evolutionary computation; finite element analysis; invertors; machine vector control; squirrel cage motors; variable speed drives; FEM; IFOCC strategy; differential evolution algorithm; finite element method; indirect field oriented current control; induction motor geometry; inverter-driven induction motors; power 55 kW; speed control; torque control; torque density; variable speed application; vector control; Algorithm design and analysis; Geometry; Induction motors; Optimization; Rotors; Stators; Torque; DE; Differential Evolution; IFOCC; IM; Indirect Field Oriented Current Control; Induction Motor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
Conference_Location :
Pittsburgh, PA
Type :
conf
DOI :
10.1109/ECCE.2014.6953405
Filename :
6953405
Link To Document :
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