High-Frequency Current Ripple Sample Anti-Aliasing Strategy of Digitally Controlled Converter Based on Notch Filter

Ma Chunyan, Duan Qing, Sheng Wanxing, Li Yuguo, Wang Haoqing

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The digital controller of the grid-connected converter achieves closed-loop control by sampling key voltage and current signals. High-frequency switching of power electronic switches introduces high-frequency ripples into the signals, which may cause sampling aliasing. Severe distortion may happen in the output current of the converter because of the sampling aliasing. This paper explains how the aliasing problem arises by analyzing the spectrum of sampling-controlled signals. The explanation shows the severity of the aliasing problem and the necessity of adopting anti-aliasing methods. Next, this paper analyzes the impact of commonly used anti-aliasing low-pass filters on current control stability. From the conclusions, adopting a low-pass anti-aliasing filter reduces the stability margin of the current loop, which needs improvement. So this paper proposes a novel hybrid anti-aliasing filter based on the combination of the notch and low pass analog filters. An experiment on a 6kVA prototype verifies the proposed anti-aliasing method. This paper shows distortion and step-response oscillation of the output current when proposed and traditional anti-aliasing methods adopted. The comparison shows the advantages of the proposed anti-aliasing method.

Original languageEnglish
Pages (from-to)16757-16767
Number of pages11
JournalIEEE Access
Volume11
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • anti-aliasing strategy
  • Grid-connected converter
  • high-frequency ripples
  • stability margin

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