Speed, EMF and Rotor Position Estimation of PMSM using Phase Locked Loop and Simple Sliding Mode Observer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The paper presents a simple method to estimate the quantities needed for implementation of sensorless control for the Permanent Magnet Synchronous Motor (PMSM). In sensorless control, the speed, EMFs and rotor position of the motor need to be estimated using the terminal quantities (measured voltages and currents). The paper proposes a sequential estimation approach: the speed is estimated first; then, it is used in the estimation of the EMFs and rotor position. The speed is obtained using a Phase Locked Loop (PLL) synchronized with the motor voltages. The PLL does not depend on the motor parameters and yields a speed estimate with guaranteed zero steady-state error. The availability of the motor speed allows to improve the estimation of the EMFs and rotor position using speed dependent gains and angle correction. The paper presents a simple sliding mode observer whose estimation accuracy is improved using the speed estimate. The results are validated with simulations. The method presented is simple and easy to implement. The estimators presented are reliable, accurate, depend on a minimal set of parameters and yield zero steady-state error.

Original languageEnglish (US)
Title of host publicationIECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9781665435543
DOIs
StatePublished - Oct 13 2021
Event47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, Canada
Duration: Oct 13 2021Oct 16 2021

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2021-October

Conference

Conference47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Country/TerritoryCanada
CityToronto
Period10/13/2110/16/21

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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