Title :
FPGA-Based Spread-Spectrum Schemes for Conducted-Noise Mitigation in DC–DC Power Converters: Design, Implementation, and Experimental Investigation
Author :
Dousoky, Gamal M. ; Shoyama, Masahito ; Ninomiya, Tamotsu
Author_Institution :
Dept. of Electr. Eng., Kyushu Univ., Fukuoka, Japan
Abstract :
This paper proposes a family of spread-spectrum schemes, several of which are new, for conducted-noise reduction in dc-dc converters. The schemes use three randomized parameters to generate the switching signals: carrier frequency, duty ratio, and pulse position. The increasing performance and cost reduction of field-programmable gate array (FPGA) technology have made the application of these schemes possible in this field. A theoretical framework for a general representative scheme is provided. Then, the proposed schemes are designed and implemented using an FPGA-based controller. Furthermore, the effect of using the proposed controller on common-mode, differential-mode, and total conducted-noise characteristics of the dc-dc converter is experimentally investigated. In addition, the three randomization parameters are swept to determine the values that best achieve the conducted-noise spectrum spread. All studied cases are designed, implemented, and experimentally investigated. Then, the conducted-noise spectra are compared. The experimental results show that the use of the proposed controller with the determined randomization values significantly improves the conducted-noise spectrum and effectively reduces the noise peaks at both high- and low-frequency ranges.
Keywords :
DC-DC power convertors; field programmable gate arrays; interference suppression; switching convertors; DC-DC power converters; FPGA-based controller; FPGA-based spread-spectrum schemes; carrier frequency; conducted-noise mitigation; conducted-noise spectra; duty ratio; field-programmable gate array technology; pulse position; switching signals; DC–DC power conversion; electromagnetic compatibility; electromagnetic interference (EMI); field-programmable gate arrays (FPGAs); random number generation;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2049708