Title :
Power converter design optimization
Author :
Busquets-Monge, Sergio ; Soremekun, Grant ; Hefiz, E. ; Crebier, Christophe ; Ragon, Scott ; Boroyevich, Dushan ; Gürdal, Zafer ; Arpilliere, Michel ; Lindner, Douglas K.
Abstract :
This article present GA-based design approach to optimization of power electronics circuits is shown to be a very effective and powerful tool for obtaining improved solutions compared to traditional design procedures. In the GA procedure, each design is represented using a "gene string" for the converter design problem, each gene string is used to represent the set of electrical components that define one possible converter design. The design of power electronics systems involves a large number of design variables and the application of knowledge from several different engineering fields.
Keywords :
design engineering; genetic algorithms; power convertors; power electronics; GA-based design; electrical components; gene string; optimization; power converter; power electronics circuits; Circuits; Design automation; Design optimization; FETs; Hardware; MOSFETs; Magnetic separation; Optimization methods; Power electronics; Software packages;
Journal_Title :
Industry Applications Magazine, IEEE
DOI :
10.1109/MIA.2004.1256250