An important tool in the field of Permanent Magnet Synchronous Motors (PMSMs) is parameter identification, which allows for final stage inspection, adaptive control and condition monitoring. Common identification approaches require the PMSM to be mounted into a test-bench with encoders, which is complicated or not possible for some machines. In order to address this issue, this work combines a Recursive Least-Squares based parameter identification algorithm with the sensorless control technique Direct Flux Observer (DFO). The developed identification technique is implemented on a microcontroller and experimental results on different kind of PMSMs are shown and discussed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Parameter identification of star-connected PMSMs by means of a sensorless technique


    Contributors:


    Publication date :

    2018-04-01


    Size :

    274685 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Parameter identification of star-connected PMSMs by means of a sensorless technique

    König, Niklas / Grasso, Emanuele / Schuhmacher, Klaus et al. | DataCite | 2018



    A Robust Sensorless Controller-Observer Strategy for PMSMs with Unknown Resistance and Mechanical Model

    Alessandro Bosso / Andrea Tilli / Christian Conficoni | BASE | 2020

    Free access