Real-Time Sensorless Speed Estimation in Wound Rotor Induction Machines using a Dichotomous Search Algorithm

Kavul Tshiloz, S. Djukanovic, Sinisa Durovic

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

    Abstract

    This paper investigates the development and realtime implementation of a dichotomous search algorithm based sensorless speed estimation technique in wound rotor induction machines. To this end the authors present the description of the structure and implementation of the technique proposed to extract the desired slip dependent frequency and hence the rotor speed information from the machine stator current spectrum. The performance of the presented algorithm in delivering estimation rate and accuracy improvements is then assessed and validated in real-time speed estimation tests undertaken on a 7.5 kW induction generator operating in the nominal and extended slip range.
    Original languageEnglish
    Title of host publicationIEEE Xplore
    Pages1036-1042
    Number of pages8
    Publication statusPublished - 10 May 2015
    EventIEEE International Electric Machines and Drives Conference, IEMDC 2015 - Coeur d'Alene, United States
    Duration: 11 May 201513 May 2015

    Conference

    ConferenceIEEE International Electric Machines and Drives Conference, IEMDC 2015
    Country/TerritoryUnited States
    CityCoeur d'Alene
    Period11/05/1513/05/15

    Keywords

    • Estimation
    • Data mining
    • Real-time systems
    • Steady-state
    • Frequency estimation
    • Rotors
    • Stators

    Fingerprint

    Dive into the research topics of 'Real-Time Sensorless Speed Estimation in Wound Rotor Induction Machines using a Dichotomous Search Algorithm'. Together they form a unique fingerprint.

    Cite this