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

    25 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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