The design of electrical filters for the suppression of electromagnetic interferences is a complex multiconstrained problem. The solution to such a problem aims to identify the suitable electrical circuit and components taking in consideration the nonidealities of the hardware as well as the parasitic phenomena. A customized optimization strategy is proposed for the automatic design of a ready-to-build filter solution. The design procedure integrates a circuital simulator and a library of electrical models to simulate the behavior of commercially available passive components. The obtained filter is designed to fit the end-user requirements (such as the common mode and the differential mode insertion losses) and the filter layout is automatically identified for simple prototyping on a printed circuit board. A selected set of filters have been simulated and developed to numerically and experimentally assess the effectiveness and show the flexibility of the proposed methodology.

Automatic EMI Filter Design Through Particle Swarm Optimization

Viani, Federico;Robol, Fabrizio;Salucci, Marco;Azaro, Renzo
2017-01-01

Abstract

The design of electrical filters for the suppression of electromagnetic interferences is a complex multiconstrained problem. The solution to such a problem aims to identify the suitable electrical circuit and components taking in consideration the nonidealities of the hardware as well as the parasitic phenomena. A customized optimization strategy is proposed for the automatic design of a ready-to-build filter solution. The design procedure integrates a circuital simulator and a library of electrical models to simulate the behavior of commercially available passive components. The obtained filter is designed to fit the end-user requirements (such as the common mode and the differential mode insertion losses) and the filter layout is automatically identified for simple prototyping on a printed circuit board. A selected set of filters have been simulated and developed to numerically and experimentally assess the effectiveness and show the flexibility of the proposed methodology.
2017
4
Viani, Federico; Robol, Fabrizio; Salucci, Marco; Azaro, Renzo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/181400
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