Robust sensorless predictive control of induction motors with sliding mode voltage model observer

Seyed Alireza Davari, Davood Arab Khaburi, Fengxiang Wang, Ralph Kennel

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

In this paper, a robust sliding mode prediction model is combined with a sliding mode voltage model observer to achieve a sensorless predictive torque control method. In order to compensate the uncertainties of the stator and rotor resistances and the offset of measured current, sliding mode feedbacks were added to the voltage model observer. To reduce the effect of the errors that are injected from the observer to the prediction model in the sensorless application, the prediction model was also reinforced by a sliding mode feedback. The feedback gains for the prediction and observer models are assigned by a robustness H1 analysis. This method reduces the sensitivity of the sensorless predictive algorithm to the parameter variation. In order to verify the proposed method, simulation and experimental results are presented in a wide speed range.

Original languageEnglish
Pages (from-to)1539-1552
Number of pages14
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume21
Issue number6
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Induction motor
  • Observer
  • Predictive torque control
  • Robust sensorless drive
  • Sliding mode

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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