Triple-hybrid spread-spectrum technique for conducted-noise reduction in DC-DC converters with an FPGA-based implementation

Gamal M. Dousoky, Masahito Shoyama, Tamotsu Ninomiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A novel technique for conducted-noise reduction has been proposed in this paper. The proposed technique uses three randomized parameters for generating the switching signals. These parameters are carrier frequency, duty-ratio, and the pulse position. This triple-hybrid spread-spectrum technique has been designed and implemented using field-programmable gate array (FPGA) technology. Moreover, the effect of using the proposed controller on common-mode and differential-mode noise, total conducted-noise, and radiated-noise characteristics of the converter has been experimentally investigated. Furthermore, sweeping of the three randomization parameters has been carried-out for reaching the values which achieve the best conducted-noise spectrum spreading. All the 64 studied cases have been designed, implemented and experimentally investigated. Then, the conducted-noise spectrums have been compared. The experimental results show that using the proposed technique, with the reached randomization parameter values, significantly improves the conducted-noise spectrum and effectively reduces the noise peaks at both high and low frequency ranges. Moreover, the radiated-noise spectrum has been improved.

Original languageEnglish
Title of host publication2009 13th European Conference on Power Electronics and Applications, EPE '09
Publication statusPublished - Dec 1 2009
Event2009 13th European Conference on Power Electronics and Applications, EPE '09 - Barcelona, Spain
Duration: Sept 8 2009Sept 10 2009

Publication series

Name2009 13th European Conference on Power Electronics and Applications, EPE '09

Other

Other2009 13th European Conference on Power Electronics and Applications, EPE '09
Country/TerritorySpain
CityBarcelona
Period9/8/099/10/09

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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