Burak YENİPINAR, CEMAL YILMAZ, YUSUF SÖNMEZ, MEHMET FATİH IŞIK

Asenkron Motorlarda Rotor Oluğunun Farklı Optimizasyon Yöntemleri ile Optimizasyonunun Gerçekleştirilmesi ve Performansa Etkilerinin İncelenmesi

Bu çalışmada asenkron motorlarda optimal rotor oluk ölçülerinin, Sequential Nonlineer Programming (SNP), Genetik Algoritma (GA) ve Sequential Mixed Integer NonLinear Programming (SMINP) yöntemleri ile bulunması gerçekleştirilmiş ve karşılaştırmalı olarak motor performansına olan etkisi incelenmiştir. Gerçekleştirilen optimizasyon çalışmasındaki amaç maksimum motor veriminin sağlandığı oluk geometrisini elde etmektir. Simülasyon çalışmaları, Ansys Maxwell paket programı kullanılarak gerçekleştirilmiştir. Gerçekleştirilen optimizasyon çalışması sonrasında elde edilen rotor oluk geometrisine göre Ansys Maxwell 2D programında motor modeli oluşturulmuş ve gerekli analizler gerçekleştirilmiştir. Elde edilen sonuçlara göre, en verimli motor geometrisi GA algoritması kullanıldığında elde edilmektedir.

Anahtar Kelimeler:

Asenkron motor tasarımı, rotor oluk optimizasyonu, sequential nonlineer programlama, genetik algoritma, sequential mixed ınteger nonlinear programlama

Optimizing the Rotor Slot Dimensions of Asynchronous Motor Using Different Optimization Methods and Investigating Effects on the Motor Performance

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.

Keywords:

Asynchronous motor design, rotor slot optimization, sequential nonlineer programming, genetic algorithm, sequential mixed integer nonlinear programming,

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