Design optimization of a BLDC motor: a comparative analysis

Author

Markovic, Miroslav ; Ragot, Patrick ; Perriard, Yves

Author_Institution

Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne

Volume

2

fYear

2007

fDate

3-5 May 2007

Firstpage

1520

Lastpage

1523

Abstract

The paper presents an application of the Matlab optimization algorithms to a slotless brushless DC (BLDC) motor design, with 7 design parameters chosen to be free. The tested algorithms are: classical (gradient-based), direct-search and genetic. As a conclusion, the direct-search algorithm is not suitable for this application, as it is highly dependent on the initial values. The classical or genetic algorithms are suitable to apply, but within loops. The best results are produced by the sequence genetic-classical algorithms.

Keywords

brushless DC motors; electric machine analysis computing; genetic algorithms; mathematics computing; BLDC motor; Matlab optimization algorithms; direct-search algorithm; genetic algorithms; sequence genetic-classical algorithms; slotless brushless DC motor design; Algorithm design and analysis; Analytical models; Brushless DC motors; Brushless motors; DC motors; Design optimization; Genetic algorithms; Mathematical model; Numerical models; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines & Drives Conference, 2007. IEMDC '07. IEEE International

Conference_Location

Antalya

Print_ISBN

1-4244-0742-7

Electronic_ISBN

1-4244-0743-5

Type

conf

DOI

10.1109/IEMDC.2007.383653

Filename

4270873