A resolver-to-digital conversion method based on third-order rational fraction polynomial approximation for PMSM control

Shuo Wang, Jinsong Kang, Michele Degano, Giampaolo Buticchi

Research output: Journal PublicationArticlepeer-review

14 Citations (Scopus)

Abstract

In this paper, a cost-effective and highly accurate resolver-to-digital conversion method is presented. The core of the idea is to apply a third-order rational fraction polynomial approximation for the conversion of sinusoidal signals into the pseudo linear signals, which are extended to the range 0°-360° in four quadrants. Then, the polynomial least squares method is used to achieve compensation to acquire the final angles. The presented method shows better performance in terms of accuracy and rapidity compared with the commercial available techniques in simulation results. This paper describes the implementation details of the proposed method and the way to incorporate it in digital signal processor-based permanent magnet synchronous motor drive system. Experimental tests under different conditions are carried out to verify the effectiveness for the proposed method. The obtained maximum error is about 0.0014° over 0°-360°, which can usually be ignored in most industrial applications.

Original languageEnglish
Article number8566179
Pages (from-to)6383-6392
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume66
Issue number8
DOIs
Publication statusPublished - Aug 2019

Keywords

  • Analog processing circuits
  • arc tangent function
  • pseudo linear signals
  • resolver-to-digital conversion (RDC)
  • third-order rational fraction polynomial approximation (TRFPA)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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