In the paper a genetic algorithm (GA) is employed as an efficient tool in the optimum design of the metallic cage of power drive systems (PDS). By means of the proposed method the PDS radiated emissions are minimized preserving the air cooling required for its functioning. In particular the partial element equivalent circuit (PEEC) method is used in conjunction with the GA technique in order to minimize the magnetic field radiated by an inverter. The cage aperture dimensions represent the parameters optimized by the GA. A numerical example applied to a real inverter demonstrates that the combined PEEC/GA technique provides good results in the optimization of the considered complex system

EMI design of power drive system cages using the PEEC method and genetic optimization techniques

ANTONINI, GIULIO;
2001-01-01

Abstract

In the paper a genetic algorithm (GA) is employed as an efficient tool in the optimum design of the metallic cage of power drive systems (PDS). By means of the proposed method the PDS radiated emissions are minimized preserving the air cooling required for its functioning. In particular the partial element equivalent circuit (PEEC) method is used in conjunction with the GA technique in order to minimize the magnetic field radiated by an inverter. The cage aperture dimensions represent the parameters optimized by the GA. A numerical example applied to a real inverter demonstrates that the combined PEEC/GA technique provides good results in the optimization of the considered complex system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/43125
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