Sensorless MRAS control of brushless doubly-fed reluctance generators for wind turbines

M. R. Agha Kashkooli, Milutin Jovanovic

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

    1 Citation (Scopus)

    Abstract

    A new model reference adaptive system based estimation technique for vector control of a brushlesss doubly fed reluctance generator without a shaft position sensor is proposed. The rotor speed is being precisely observed in a closed-loop fashion through an iterative error elimination process between the measured and estimated secondary current angles in a stationary frame. Contrary to the existing adaptive observer designs reported in the open literature for this emerging generator technology, the reference model only uses the secondary current measurements and does not need any machine parameters for calculations. Furthermore, the stationary frame current components estimates are obtained using the measured grid voltages and currents, which has provided prospects for much higher accuracy and superior overall performance. The realistic simulations and the accompanying parameter sensitivity studies have shown the great controller potential for typical operating conditions of wind turbines as the main target application.

    Original languageEnglish
    Title of host publicationProceedings - 2020 International Conference on Electrical Machines, ICEM 2020
    PublisherIEEE
    Pages2202-2208
    Number of pages7
    ISBN (Electronic)9781728199450
    DOIs
    Publication statusPublished - 23 Aug 2020
    Event2020 International Conference on Electrical Machines, ICEM 2020 - Virtual, Gothenburg, Sweden
    Duration: 23 Aug 202026 Aug 2020

    Publication series

    NameProceedings - 2020 International Conference on Electrical Machines, ICEM 2020

    Conference

    Conference2020 International Conference on Electrical Machines, ICEM 2020
    Country/TerritorySweden
    CityVirtual, Gothenburg
    Period23/08/2026/08/20

    Keywords

    • Adaptive Systems
    • Brushless Machines
    • Sensorless Control
    • Velocity Control
    • Wind Energy Conversion

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