Learning Algorithm-Based Offset-Free One-Step Time-Delay Compensation for Power Converter and Motor Drive System Applications

Seok Kyoon Kim, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In this article, we deal with the one-step time-delay problem in power converter and motor drive system applications implemented by the digital signal processor. For these wide applications, a novel one-step time-delay compensation algorithm is proposed, comprising a standard Luenberger-type observer including a learning algorithm and disturbance observer (DOB). The first novelty is to suggest the learning algorithm automatically determining the observer feedback gains according to the estimation error magnitude. The second is to introduce DOBs with estimation error integrators for removing the steady-state estimation errors, removing the additional adaptive and nonlinear damping compensation terms. The closed-loop observer behaviors are rigorously analyzed to present useful properties. The experimental data obtained using a 3-kW prototype dc-dc boost converter validates the effectiveness of the proposed algorithm.

Original languageEnglish
Article number8825509
Pages (from-to)3789-3796
Number of pages8
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number6
DOIs
Publication statusPublished - 2020 Jun

Keywords

  • Disturbance observer (DOB)
  • learning algorithm
  • observer
  • one-step time delay
  • stability analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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