Title :
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
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;
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
DOI :
10.1109/IEMDC.2007.383653
