Number of the records: 1  

Explicit Model Predictive Control of PMSM Drives

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    SYSNO ASEP0543300
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleExplicit Model Predictive Control of PMSM Drives
    Author(s) Belda, Květoslav (UTIA-B) RID, ORCID
    Píša, P. (CZ)
    Number of authors2
    Article numberKD-002909
    Source TitleProceedings of the IEEE 30th International Symposium on Industrial Electronics (ISIE). - Tokyo : JTB Communication Design, Inc., 2021 - ISBN 978-1-7281-9023-5
    Number of pages6 s.
    Publication formPrint - P
    ActionIEEE 30th International Symposium on Industrial Electronics (ISIE)
    Event date20.06.2021 - 23.06.2021
    VEvent locationKyoto
    CountryJP - Japan
    Event typeWRD
    Languageeng - English
    CountryJP - Japan
    Keywordspredictive control ; FPGA ; permanent magnet motors ; control design ; position control ; velocity control
    Subject RIVBC - Control Systems Theory
    OECD categoryRobotics and automatic control
    Institutional supportUTIA-B - RVO:67985556
    AnnotationThis paper deals with the explicit model predictive control (MPC) algorithms for permanent magnet synchronous motors (PMSM). The algorithms generate continuous and smooth set of pre-computed control laws represented by parameterized gains. The selection and application of the gains in real motion control of PMSM is explained. The MPC design introduces cost functions and control laws that define explicit algorithms. For this purpose, a unified state-space model of PMSM is proposed. In the paper, practical aspects of considered explicit MPC algorithms are investigated for control systems with floating-point arithmetic and usual incremental position sensors with quantized values. The proposed solution is demonstrated by real experiments with 95W PMSM controlled by Field-Programmable Gate Array (FPGA) unit.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2022
Number of the records: 1  

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