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A Step-by-Step Design for Low-Pass Input Filter of the Single-Stage Converter

Qingqing He, Lei Liu, Mingyang Qiu and Quanming Luo
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Qingqing He: The School of Automation, Wuhan University of Technology, Wuhan 430070, China
Lei Liu: The School of Automation, Wuhan University of Technology, Wuhan 430070, China
Mingyang Qiu: The School of Automation, Wuhan University of Technology, Wuhan 430070, China
Quanming Luo: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China

Energies, 2021, vol. 14, issue 23, 1-25

Abstract: Active power factor correction converters are often introduced as the front stage of power electronic equipment to improve the power factor and eliminate higher harmonics. A Boost or Buck-Boost converter operating in discontinuous current mode is always adopted to achieve high power factor correction. In addition, the input current contains a large amount of higher harmonics, and a low-pass input filter is commonly adopted to filter it out. In this paper, a single-stage high-frequency AC/AC converter is taken as an example to demonstrate the design method of a passive low-pass filter. Firstly, the input side of the grid needs to meet the power factor and harmonic requirements. The preset parameters are set to a range to characterize the performance of the LC filter. The quantitative design method of input filter is proposed and summarized. Moreover, the sensitivity of the filter parameters is analyzed, providing a direction in practical applications. Preset parameters are all proved to conform to the preset range through PSIM simulation. Finally, a 130-W prototype is established to verify the correction of proposed design method. The power factor is around 0.935 and harmonic content in the input current is about 26.4%. All requirements can be satisfied.

Keywords: single-stage converter; low-pass input filter; AC/AC; parameter design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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