An Enhanced Deadbeat Predictive Current Control of SPMSM With Linear Disturbance Observer

Xin Yuan, Shuangchun Xie, Jiahao Chen, Shuo Zhang, Chengning Zhang, Christopher H.T. Lee

    Research output: Journal article publicationJournal articleAcademic researchpeer-review

    9 Citations (Scopus)

    Abstract

    Deadbeat predictive current control (DPCC) with a linear disturbance observer (LDO) in the surface-mounted permanent magnet synchronous machine (SPMSM) has been widely applied in many applications due to better dynamic response performance and easy implementation. However, the evaluated lumped disturbances caused by current measurement noises, inverter nonlinearity, abrupt reference current, and initial inductance parameter mismatch can restrain the high-performance development. In order to handle this issue, an enhanced DPCC with LDO is proposed in this article, where a modified DPCC with the LDO model and the noninvasive inductance and inverter disturbance observer are developed. In this case, the initial inductance parameter mismatch and high-frequency disturbances effect on the DPCC with LDO is reduced, while the current measurement noises' suppression is enhanced by the proposed LDO. The theoretical analysis has shown that the proposed DPCC with LDO has a better performance than the conventional DPCC with LDO. Also, the superiority of the proposed DPCC with LDO has been validated by an SPMSM drive test rig.

    Original languageEnglish
    Pages (from-to)6304-6316
    Number of pages13
    JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
    Volume10
    Issue number5
    DOIs
    Publication statusPublished - 1 Oct 2022

    Keywords

    • Deadbeat predictive current control (DPCC)
    • inverter nonlinearity
    • linear disturbance observer (LDO)
    • surface-mounted permanent magnet synchronous machine (SPMSM)

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Electrical and Electronic Engineering

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