Nonlinear Signal-Filtering Technique with Real-Time Gain Booster for Feedback System Applications

Seok Kyoon Kim, Ki Chan Kim, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

Abstract

This letter devises a novel signal-filtering technique subject to the feedback structure without the exact source signal dynamics information. The main idea of this result is comprised of two parts: first, the combination of the Luenberger and disturbance observer design techniques to improve the disturbance rejection capability in the feedback structure; second, the closed-form filtering gain-boosting mechanism updating the gain into the direction of the filtering error reduction. It is experimentally confirmed that the proposed filter contributes to lowering the current regulation performance degradation level from the filtering performance improvement using a 500-W permanent-magnet synchronous motor driven by the three-phase inverter.

Original languageEnglish
Article number9292982
Pages (from-to)2183-2187
Number of pages5
JournalIEEE Signal Processing Letters
Volume27
DOIs
Publication statusPublished - 2020

Keywords

  • Adaptive filtering
  • disturbance observer
  • feedback structure
  • stability analysis

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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