Optimal brushless DC motor design using genetic algorithms

A. Rahideh, T. Korakianitis, P. Ruiz, T. Keeble, M. T. Rothman

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)


This paper presents a method for the optimal design of a slotless permanent magnet brushless DC (BLDC) motor with surface mounted magnets using a genetic algorithm. Characteristics of the motor are expressed as functions of motor geometries. The objective function is a combination of losses, volume and cost to be minimized simultaneously. Electrical and mechanical requirements (i.e. voltage, torque and speed) and other limitations (e.g. upper and lower limits of the motor geometries) are cast into constraints of the optimization problem. One sample case is used to illustrate the design and optimization technique.
Original languageEnglish
Pages (from-to)3680-3687
Number of pages8
JournalJournal of Magnetism and Magnetic Materials
Issue number22
Publication statusPublished - 1 Nov 2010


  • Brushless DC


Dive into the research topics of 'Optimal brushless DC motor design using genetic algorithms'. Together they form a unique fingerprint.

Cite this