DocumentCode :
3441441
Title :
Multiobjective optimal design of transformers for isolated switch mode power supplies
Author :
Versèle, C. ; Deblecker, O. ; Lobry, J.
Author_Institution :
Electr. Eng. Div., Univ. de Mons, Mons, Belgium
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1687
Lastpage :
1692
Abstract :
This paper deals with the multiobjective optimal design of medium frequency (MF) transformers for isolated switch mode power supplies (SMPS). The design problem requires minimizing the weight and the loss of the transformer while ensuring the satisfaction of a number of constraints. These constraints include appropriate limits on efficiency, temperature rise and winding dimensions. The optimization variables are, as for them, the operating frequency, the maximum flux density, the current density in windings as well as the core dimensions. If the first three variables are commonly used as design variables, it is rarer to treat the core dimensions as design variables. Note that the MF transformer model used in the design procedure takes full account of the current and voltage waveforms. In this contribution, a design procedure of MF transformers based on multiobjective Genetic Algorithms (GAs) is proposed and illustrated with the design of a transformer for a full-bridge converter.
Keywords :
current density; genetic algorithms; switched mode power supplies; transformer windings; transformers; current density; current waveform; flux density; genetic algorithm; isolated switch mode power supply; medium frequency transformer; multiobjective optimal design; optimization; voltage waveform; Algorithm design and analysis; Current density; Frequency conversion; Magnetic cores; Magnetic flux; Power supplies; Switched-mode power supply; Switches; Temperature; Transformer cores; dc-dc converter; high frequency transformer; multiobjective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Electrical Drives Automation and Motion (SPEEDAM), 2010 International Symposium on
Conference_Location :
Pisa
Print_ISBN :
978-1-4244-4986-6
Electronic_ISBN :
978-1-4244-7919-1
Type :
conf
DOI :
10.1109/SPEEDAM.2010.5542043
Filename :
5542043
Link To Document :
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