Yıl: 2017 Cilt: 5 Sayı: 4 Sayfa Aralığı: 242 - 246 Metin Dili: İngilizce İndeks Tarihi: 29-07-2022

Intelligent Systems and Applications in Engineering Advanced Technology and Science

Öz:
Permanentmagnet synchronous motors have been preferred in industrial fields for a few decades. It is reason for that the permanent magnet synchronous motors have high torque/volume ratio, large flux weakening region, and especially highly efficient. The main factor to obtain these advantages is the selection of suitable geometric parameters in their design optimizations. As a design optimizationthis study investigates external rotor permanent magnet synchronous motor with fractional slot windings. Pre-analytical designs and subsequently design optimizations by genetic algorithm and differential evolution algorithm have been studied. Thebetter resultsobtained were tested by the finite element method.Thus, so much more compact and efficient motor model was to be achieved based on the design geometries. The results are very reasonable and useful
Anahtar Kelime:

Konular: Bilgisayar Bilimleri, Yapay Zeka
Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] H. Yetiş, H. Boztepeli, Y. Yasa, E. Meşe (2013). Comparative design of direct drive PM synchronous motors in gearless elevator systems. 3rd International Conference on Electric Power and Energy Conversion Systems (EPECS).
  • [2] H. Bakhtiarzadeh, A. Polat, L. T. Ergene (2017). Design and analysis of a permanent magnet synchronous motor for elevator applications. International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).
  • [3] D. J. Sim, D. H. Cho, J. S. Chun, H. K. Jung, T. K. Chung (1997). Efficiency optimization of interior permanent magnet synchronous using genetic algorithms. IEEE Transactions on Magnetics. Vol. 33. No. 2.
  • [4] M. Łukaniszyn, M. JagieŁa, R. Wróbel (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.
  • [5] N. B. Cassimere and S. D. Sudhoff (2009). Population-based design of surface-mounted permanent-magnet synchronous machines. IEEE Transactions on Energy Conversion. Vol. 24. No. 2. pp. 338-346.
  • [6] J. A. Güemes, A. M. Iraolagoitia, J. I. Del Hoyo, P. Fernández (2011). Torque analysis in permanent-magnet synchronous motors: a comparative study. IEEE Transactions on Energy Conversion. Vol. 26. No. 1. pp. 55- 63.
  • [7] G. Y. Sizov, D. M. Ionel, N. A. O. Demerdash (2011). Multiobjective optimization of PM AC machines using computationally efficient - FEA and differential evolution. IEEE International Electric Machines & Drives Conference (IEMDC). Page(s): 1528-1533.
  • [8] F. Libert (2004). Design, optimization and comparison of permanent magnet motors for a low-speed direct-driven mixer. Technical Licentiate, School of Computer Science, Electrical Engineering and Engineering Physics, KTH, Sweden.
  • [9] S. S. Rao (2009). Engineering optimization theory and practice. Fourth edition. New Jersey: John Wiley & Sons Inc.
  • [10] D. E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Massachusetts. Addison-Wesley Publishing Company.
  • [11] X. S. Yang (2010). Engineering optimization – an introduction with metaheuristic applications. Hoboken, New Jersey. John Wiley & Sons, Inc.
  • [12] R. Storn, K. Price (1995). Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95-012. Inter Comp Sci Inst, Berkley.
  • [13] K. V. Price, R. M. Storn, J. A. Lampinen (2005). Differential evolution-a practical approach to global optimization. Heidelberg. Berlin.
  • [14] Duane C. Hanselman (1994). Brushless permanent-magnet motor design. McGraw-Hill Inc.
  • [15] J. Pyrhonen, T. Jokinen, V. Hrabovcová (2008). Design of rotating electrical machines. John Wiley & Sons Ltd.
APA MUTLUER M (2017). Intelligent Systems and Applications in Engineering Advanced Technology and Science. , 242 - 246.
Chicago MUTLUER Mümtaz Intelligent Systems and Applications in Engineering Advanced Technology and Science. (2017): 242 - 246.
MLA MUTLUER Mümtaz Intelligent Systems and Applications in Engineering Advanced Technology and Science. , 2017, ss.242 - 246.
AMA MUTLUER M Intelligent Systems and Applications in Engineering Advanced Technology and Science. . 2017; 242 - 246.
Vancouver MUTLUER M Intelligent Systems and Applications in Engineering Advanced Technology and Science. . 2017; 242 - 246.
IEEE MUTLUER M "Intelligent Systems and Applications in Engineering Advanced Technology and Science." , ss.242 - 246, 2017.
ISNAD MUTLUER, Mümtaz. "Intelligent Systems and Applications in Engineering Advanced Technology and Science". (2017), 242-246.
APA MUTLUER M (2017). Intelligent Systems and Applications in Engineering Advanced Technology and Science. International Journal of Intelligent Systems and Applications in Engineering, 5(4), 242 - 246.
Chicago MUTLUER Mümtaz Intelligent Systems and Applications in Engineering Advanced Technology and Science. International Journal of Intelligent Systems and Applications in Engineering 5, no.4 (2017): 242 - 246.
MLA MUTLUER Mümtaz Intelligent Systems and Applications in Engineering Advanced Technology and Science. International Journal of Intelligent Systems and Applications in Engineering, vol.5, no.4, 2017, ss.242 - 246.
AMA MUTLUER M Intelligent Systems and Applications in Engineering Advanced Technology and Science. International Journal of Intelligent Systems and Applications in Engineering. 2017; 5(4): 242 - 246.
Vancouver MUTLUER M Intelligent Systems and Applications in Engineering Advanced Technology and Science. International Journal of Intelligent Systems and Applications in Engineering. 2017; 5(4): 242 - 246.
IEEE MUTLUER M "Intelligent Systems and Applications in Engineering Advanced Technology and Science." International Journal of Intelligent Systems and Applications in Engineering, 5, ss.242 - 246, 2017.
ISNAD MUTLUER, Mümtaz. "Intelligent Systems and Applications in Engineering Advanced Technology and Science". International Journal of Intelligent Systems and Applications in Engineering 5/4 (2017), 242-246.