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Gri Kurt Optimizasyon Algoritmasını Kullanarak PM Senkron Motorun Tasarım Optimizasyonu

Yıl 2021, Sayı: 24, 274 - 278, 15.04.2021
https://doi.org/10.31590/ejosat.898907

Öz

Kalıcı mıknatıslı senkron motorlar, endüstriyel alanlarda birkaç on yıldır tercih edilmektedir. Bunun nedeni, kalıcı mıknatıslı senkron motorların yüksek bir tork / hacim oranına, farklı tasarım mimarilerine ve özellikle yüksek verimliliğe sahip olmasıdır. Bu avantajları elde etmenin ana faktörleri, sağlam tasarım algoritmalarının kullanılması ve tasarım optimizasyonlarında etkili geometrik parametrelerin seçilmesidir. Bu çalışma, yüksek verimli yüzeye monte sabit mıknatıslı senkron motor elde etmek için gri kurt algoritmasının kullanılmasını önermektedir. Gri kurt algoritmasının sonuçları, parçacık sürüsü optimizasyon algoritmasının sonuçlarıyla karşılaştırılmıştır. Elde edilen sonuçlar motor verimi açısından oldukça iyidir. Bu sayede, gri kurt algoritmasının yüzeye monte sabit mıknatıslı senkron motor tasarımındaki etkinliği de ortaya konmuştur.

Kaynakça

  • Hwang, J. C., Liu, C. S. and Chen, P. C. (2012). Design of permanent-magnet synchronous gear motor with high efficiency for elevators. IEEE Third International Conference on Sustainable Energy Tech. (ICSET), pp. 205-210.
  • Ficheux, R., Caricchi, F., Crescimbini, F. and Honorati, O. (2001). Axial-flux permanent-magnet motor for direct-drive elevator systems without machine room. IEEE Transactions on Industry App., Vol. 37. No. 6.
  • Sim, D. J., Cho, D. H., Chun, J. S., Jung, H. K. and Chung, T. K. (1997). Efficiency optimization of interior permanent magnet synchronous using genetic algorithms. IEEE Transactions on Magnetics, Vol. 33. No. 2.
  • Łukaniszyn, M., JagieŁa, M. and Wróbel, R. (2004). Optimization of permanent magnet shape for minimum cogging torque using a genetic algorithm. IEEE Transactions on Magnetics, Vol. 40. No. 2. pp. 1228-1231.
  • Cassimere, N. B. and Sudhoff, S. D. (2009). Population-based design of surface-mounted permanent-magnet synchronous machines. IEEE Transactions on Energy Conversion, Vol. 24. No. 2. pp. 338-346.
  • Güemes, J. A., Iraolagoitia, A. M., Del Hoyo, J. I. and Fernández, P. (2011). Torque analysis in permanent-magnet synchronous motors: a comparative study. IEEE Transactions on Energy Conversion, Vol. 26. No. 1. pp. 55-63.
  • Sizov, G. Y., Ionel, D. M. and Demerdash, N. A. O. (2011). Multi-objective optimization of PM AC machines using computationally efficient-FEA and differential evolution. IEEE International Electric Machines & Drives Conf. (IEMDC), pp. 1528-1533.
  • Rao, S. S. (2009). Engineering optimization theory and practice. New Jersey: John Wiley & Sons Inc.
  • Mirjalili, S., Mirjalili, S. M. and Lewis, A. (2014) Grey Wolf Optimizer. Advances in Engineering Software, 69, pp. 46–61.
  • Mutluer, M. and Bilgin, O. (2016). An intelligent design optimization of a permanent magnet synchronous motor by artificial bee colony algorithm. Turk J Elec Eng & Comp Sci, 24: pp. 1826-1837.
  • Hanselman, D. C. (1994). Brushless permanent-magnet motor design. McGraw-Hill Inc.
  • Pyrhonen, J., Jokinen, T. and Hrabovcová, V. (2008). Design of rotating electrical machines. John Wiley & Sons Ltd.

Design Optimization of PM Synchronous Motor Using Gray Wolf Optimization Algorithm

Yıl 2021, Sayı: 24, 274 - 278, 15.04.2021
https://doi.org/10.31590/ejosat.898907

Öz

In industrial fields, permanent magnet synchronous motors are preferred for several decades. This is because permanent magnet synchronous motors have a high torque/volume ratio, different design architectures and particularly high efficiency. The main factors to achieve these advantages are the use of the robust design algorithms and the selection of effective geometric parameters in design optimizations. This study proposes using the gray wolf algorithm to obtain a high efficiency surface mounted permanent magnet synchronous motor. The results of the gray wolf algorithm are compared with the results of the particle swarm optimization algorithm. The results obtained are very good in terms of motor efficiency. In this way, the effectiveness of the gray wolf algorithm in surface mounted permanent magnet synchronous motor design has also been represented.

Kaynakça

  • Hwang, J. C., Liu, C. S. and Chen, P. C. (2012). Design of permanent-magnet synchronous gear motor with high efficiency for elevators. IEEE Third International Conference on Sustainable Energy Tech. (ICSET), pp. 205-210.
  • Ficheux, R., Caricchi, F., Crescimbini, F. and Honorati, O. (2001). Axial-flux permanent-magnet motor for direct-drive elevator systems without machine room. IEEE Transactions on Industry App., Vol. 37. No. 6.
  • Sim, D. J., Cho, D. H., Chun, J. S., Jung, H. K. and Chung, T. K. (1997). Efficiency optimization of interior permanent magnet synchronous using genetic algorithms. IEEE Transactions on Magnetics, Vol. 33. No. 2.
  • Łukaniszyn, M., JagieŁa, M. and Wróbel, R. (2004). Optimization of permanent magnet shape for minimum cogging torque using a genetic algorithm. IEEE Transactions on Magnetics, Vol. 40. No. 2. pp. 1228-1231.
  • Cassimere, N. B. and Sudhoff, S. D. (2009). Population-based design of surface-mounted permanent-magnet synchronous machines. IEEE Transactions on Energy Conversion, Vol. 24. No. 2. pp. 338-346.
  • Güemes, J. A., Iraolagoitia, A. M., Del Hoyo, J. I. and Fernández, P. (2011). Torque analysis in permanent-magnet synchronous motors: a comparative study. IEEE Transactions on Energy Conversion, Vol. 26. No. 1. pp. 55-63.
  • Sizov, G. Y., Ionel, D. M. and Demerdash, N. A. O. (2011). Multi-objective optimization of PM AC machines using computationally efficient-FEA and differential evolution. IEEE International Electric Machines & Drives Conf. (IEMDC), pp. 1528-1533.
  • Rao, S. S. (2009). Engineering optimization theory and practice. New Jersey: John Wiley & Sons Inc.
  • Mirjalili, S., Mirjalili, S. M. and Lewis, A. (2014) Grey Wolf Optimizer. Advances in Engineering Software, 69, pp. 46–61.
  • Mutluer, M. and Bilgin, O. (2016). An intelligent design optimization of a permanent magnet synchronous motor by artificial bee colony algorithm. Turk J Elec Eng & Comp Sci, 24: pp. 1826-1837.
  • Hanselman, D. C. (1994). Brushless permanent-magnet motor design. McGraw-Hill Inc.
  • Pyrhonen, J., Jokinen, T. and Hrabovcová, V. (2008). Design of rotating electrical machines. John Wiley & Sons Ltd.
Toplam 12 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Mümtaz Mutluer 0000-0002-6781-8937

Yayımlanma Tarihi 15 Nisan 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 24

Kaynak Göster

APA Mutluer, M. (2021). Design Optimization of PM Synchronous Motor Using Gray Wolf Optimization Algorithm. Avrupa Bilim Ve Teknoloji Dergisi(24), 274-278. https://doi.org/10.31590/ejosat.898907