A flux and speed observer for induction motors with unknown rotor resistance and load torque and no persistent excitation requirement

Anton Pyrkin, Alexey Bobtsov, Alexey Vedyakov, Romeo Ortega, Anastasiia Vediakova, Madina Sinetova

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, we address the problems of flux and speed observer design for voltage-fed induction motors with unknown rotor resistance and load torque. The only measured signals are stator current and control voltage. Invoking the recently reported Dynamic Regressor Extension and Mixing-Based Adaptive Observer (DREMBAO), we provide the first global solution to this problem. The proposed DREMBAO achieves asymptotic convergence under an excitation condition that is strictly weaker than persistent excitation. If the latter condition is assumed the convergence is exponential.

Original languageEnglish
Pages (from-to)1578-1593
Number of pages16
JournalInternational Journal of Adaptive Control and Signal Processing
Volume35
Issue number8
DOIs
StatePublished - Aug 2021

Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Keywords

  • adaptive observers
  • DREM
  • induction motors
  • parameter estimation
  • TRACKING CONTROL

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