Synchronous machine design and fitness parameters determination using genetic algorithm optimization

Year 2024, , 276 - 288, 31.07.2024

Nihat Pamuk

https://doi.org/10.61112/jiens.1392071

Abstract

Axial-field permanent magnet synchronous machines offer significant advantages in electrical systems due to their high-power density and complex structure, and thus have many applications. The essence of the machine design process depends on fast, flexible, and accurate calculation of machine characteristics. Electromagnetic torque analysis is required to meet and validate the drive requirements. Many different methods are used for electromagnetic torque analysis. In this study, the optimal design and analysis of an axial-field permanent magnet synchronous machine is performed using genetic algorithm theory. The mathematical model structure required for the optimal design of the axial field permanent magnet synchronous machine is established. The mathematical model structure was determined to determine the critical values in the design of the axial field permanent magnet synchronous machine and was carried out depending on five optimization variables. The results of the genetic algorithm are combined with the finite element method to calculate the total motor losses. By reducing the volume of copper and iron to be used for the stator core at the design stage, the motor losses that will occur in the system are significantly minimized compared to the initial values. With the optimization method used, the mathematical model of the synchronous machine proved to be sufficient for the design and created a competitive machine model structure. The study shows that the critical values used in the optimal design of the synchronous machine can be determined more easily by using genetic algorithm results.

Keywords

Synchronous machine, Electromagnetic torque, Genetic algorithm, Optimization

Genetik algoritma optimizasyonu kullanılarak senkron makine tasarımı ve uygunluk parametrelerinin belirlenmesi

Abstract

Eksenel alanlı kalıcı mıknatıslı senkron makineler yüksek güç yoğunluğu ve karmaşık yapısı nedeniyle elektrik sistemlerinde önemli avantajlar sunmaktadır ve bu nedenlerle birçok uygulama alanı bulunmaktadır. Senkron makine tasarım sürecinin özü, makine özelliklerinin hızlı, esnek ve doğru hesaplanmasına bağlıdır. Tahrik gereksinimlerini karşılamak ve doğrulamasını gerçekleştirebilmek için elektromanyetik tork analizinin yapılması gerekmektedir. Elektromanyetik tork analizi için birçok farklı yöntem kullanılmaktadır. Bu çalışmada, genetik algoritma teorisi kullanılarak, eksenel alanlı kalıcı mıknatıslı senkron makinenin optimal tasarımı ve analizi gerçekleştirilmiştir. Eksenel alanlı kalıcı mıknatıslı senkron makinenin optimal tasarımı için gerekli olan matematiksel model yapısı oluşturulmuştur. Matematiksel model yapısı eksenel alanlı kalıcı mıknatıslı senkron makine tasarımındaki kritik değerlerin tespitine yönelik belirlenmiş ve beş adet optimizasyon değişkenine bağlı olarak gerçekleştirilmiştir. Genetik algoritma sonuçları sonlu elemanlar yöntemi ile birleştirilerek toplam motor kayıpları hesaplanmıştır. Tasarım aşamasında stator çekirdeği için kullanılacak olan bakır ve demirin hacmi küçültülerek, sistemde oluşacak olan motor kayıpları başlangıç değerlerine göre önemli ölçüde minimize edilmiştir. Kullanılan optimizasyon yöntemi ile, eksenel alanlı kalıcı mıknatıslı senkron makinenin matematiksel modelinin tasarım için yeterli olduğu kanıtlamış ve rekabetçi bir makine model yapısı oluşturmuştur. Çalışma ile, genetik algoritma sonuçları kullanılarak senkron makinenin optimal tasarımında kullanılan kritik değerlerin daha kolay belirlenebileceği gösterilmiştir.

Keywords

Senkron makine, Elektromanyetik tork, Genetik algoritma, Optimizasyon

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