An improved speed and position estimator for transient performance of back-EMF self-sensing for IPMSM

Dongwoo Lee, Kan Akatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an improved PLL-type estimator for self-sensing control based on back-electromotive force (back-EMF) estimation in an interior permanent magnet synchronous motor (IPMSM). Although the position and speed of rotor are accurately estimated by PLL-type estimator in steady state, the estimated information in transient state may be unstable. To analyze the transient performance of rotor position estimators, the structure design and proposed methods of estimator are introduced. And, the effect of proposed method has been figured out that the estimated speed error and torque ripple are decreased in transient state. The feasibility of the introduced estimator effect are verified through simulation results.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages397-402
Number of pages6
ISBN (Electronic)9781509066841
DOIs
Publication statusPublished - 2018 Dec 26
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 2018 Oct 202018 Oct 23

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
CountryUnited States
CityWashington
Period18/10/2018/10/23

Keywords

  • Interior permanent magnet synchronous motor
  • PLL-type estimator
  • Self-sensing control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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