Title :
Multi-objective optimization of power converters using genetic algorithms
Author :
Malyna, D.V. ; Duarte, J.L. ; Hendrix, M.A.M. ; van Horck, F.B.M.
Author_Institution :
Eindhoven Tech. Univ.
Abstract :
In this paper an application of the multi-objective genetic algorithm NSGA-II to synthesize a power electronic converter is described. The formal approach and the routines for synthesis are developed. As an example, a flyback converter is synthesized for minimum diode and transistor losses. The results are compared with brute-force simulation and show an exact match, but with 2.5 less simulation time. The bottlenecks of the optimization process are explored and acceleration techniques are introduced
Keywords :
genetic algorithms; power convertors; NSGA-II; acceleration techniques; brute-force simulation; flyback converter; formal approach; genetic algorithms; multiobjective optimization; power converters; Acceleration; Capacitors; Design optimization; Diodes; Genetic algorithms; Inductors; Paramagnetic resonance; Pulse width modulation; Steady-state; Voltage;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location :
Taormina
Print_ISBN :
1-4244-0193-3
DOI :
10.1109/SPEEDAM.2006.1649862
