Author/Authors :
yenipinar, burak gazi üniversitesi - fen bilimleri enstitüsü, Ankara, turkey , yilmaz, cemal gazi üniversitesi - teknoloji fakültesi - elektrik elektronik mühendisliği bölümü, Ankara, Turkey , sönmez, yusuf gazi üniversitesi - teknik bilimler meslek yüksekokulu, Ankara, turkey , işik, mehmet fatih hitit üniversitesi - mühendislik fakültesi - elektrik elektronik mühendisliği bölümü, Çorum, Turkey
Title Of Article :
Optimizing the Rotor Slot Dimensions of Asynchronous Motor Using Different Optimization Methods and Investigating Effects on the Motor Performance
شماره ركورد :
29381
Abstract :
In this paper, finding optimal rotor slot measurements in asynchronous motors has been realized by using optimization methods Sequential Nonlinear Programming (SNP), Genetic Algorithm (GA) and Sequential Mixed Integer Nonlinear Programming (SMINP) and effects of them on the motor performance have been investigated comparatively. The purpose of the work is to obtain the slot geometry that provides maximum motor efficiency. Simulation studies have been done by using Ansys Maxwell package programming. According to the rotor slot geometry obtained from simulation results, the motor model has been created in Ansys Maxwell 2D and required analyses of the motor have been realized. According to the results obtained, the most efficient rotor geometry has been occurred when using GA.
From Page :
1
NaturalLanguageKeyword :
Asynchronous motor design , Rotor slot optimization , sequential nonlineer programming , genetic algorithm , sequential mixed integer nonlinear programming
JournalTitle :
Journal Of Polytechnic
To Page :
6
Link To Document :
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