Design of External Rotor Permanent Magnet Synchronous Motor Based on Genetic Algorithm and Differential Evolution Algorithm

Mumtaz Mutluer


Permanent magnet 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 optimization this 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. The better results obtained 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.


Design optimization; differential evolution algorithm; genetic algorithm; external rotor permanent magnet synchronous motor

Full Text:

Submitted: 2017-08-10 23:06:24
Published: 2017-12-12 13:20:45
Search for citations in Google Scholar
Related articles: Google Scholar


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).

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).

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.

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.

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.

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.

G. Y. Sizov, D. M. Ionel, N. A. O. Demerdash (2011). Multi-objective optimization of PM AC machines using computationally efficient - FEA and differential evolution. IEEE International Electric Machines & Drives Conference (IEMDC). Page(s): 1528-1533.

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.

S. S. Rao (2009). Engineering optimization theory and practice. Fourth edition. New Jersey: John Wiley & Sons Inc.

T. Weise (2011). Global optimization algorithms – theory and application. 3rd Ed.

X. S. Yang (2010). Engineering optimization – an introduction with metaheuristic applications. Hoboken, New Jersey. John Wiley & Sons, Inc.

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.

K. V. Price, R. M. Storn, J. A. Lampinen (2005). Differential evolution-a practical approach to global optimization. Heidelberg. Berlin.

Duane C. Hanselman (1994). Brushless permanent-magnet motor design. McGraw-Hill Inc.

J. Pyrhonen, T. Jokinen, V. Hrabovcová (2008). Design of rotating electrical machines. John Wiley & Sons Ltd.

Abstract views:


Copyright (c) 2017 International Journal of Intelligent Systems and Applications in Engineering

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
© AtScience 2013-2018     -     AtScience is a registered trademark property of AtScience.