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A resolver-To-digital conversion system based on second order Butterworth low pass filter

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • HITSN Motor Ltd Harbin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Resolvers exhibit relatively impressive ruggedness, high accuracy, strong anti-interference ability and wonderful reliability in many household and industrial applications. However, it is necessary to use Resolver-To-Digital Conversion (RDC) to get the position and speed from the resolvers, due to the analogue output of resolvers. In this paper, an RDC system with excellent performance is proposed based on frequency shifting method by using Butterworth low pass filter and type-II Angle Tracking Observer (ATO) to estimate resolver shaft angle. Because of the outstanding frequency response characteristic of Butterworth filter, lower phase delay, more sufficient bandwidth and higher accuracy can be achieve compared by traditional RC filters. Eventually, both simulations and experimental results validate the effectiveness and feasibility of the proposed method.

Original languageEnglish
Title of host publication4th International Symposium on Power Electronics and Control Engineering, ISPECE 2021
EditorsYinquan Yu, Fengjie Cen
PublisherSPIE
ISBN (Electronic)9781510650367
DOIs
StatePublished - 2021
Externally publishedYes
Event4th International Symposium on Power Electronics and Control Engineering, ISPECE 2021 - Nanchang, China
Duration: 16 Sep 202119 Sep 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12080
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference4th International Symposium on Power Electronics and Control Engineering, ISPECE 2021
Country/TerritoryChina
CityNanchang
Period16/09/2119/09/21

Keywords

  • Angle Tracking Observer (ATO)
  • Butterworth filter
  • Frequency shifting
  • Resolver-To-Digital Conversion (RDC)
  • Signal processing

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