Using full order and reduced order observers for robust sensorless predictive torque control of induction motors

S. Alireza Davari, Davood Arab Khaburi, Fengxiang Wang, Ralph M. Kennel

Research output: Contribution to journalArticlepeer-review

175 Citations (Scopus)

Abstract

In this paper, two kinds of observer-based sensorless predictive torque control methods are proposed. The predictive method is based on examining feasible voltage vectors (VVs) in a prescribed cost function. The VV that minimizes the cost function is selected. A novel robust prediction model is presented. The prediction model includes sliding mode feedbacks. The feedback gains are assigned by the H-inf method. Two kinds of observers are applied for flux and speed estimation, i.e., sliding mode full order observer and reduced order observer. In order to verify the proposed method, simulation and experimental results are presented in wide speed range. A comparison of the two methods is performed based on the results.

Original languageEnglish
Article number6104407
Pages (from-to)3424-3433
Number of pages10
JournalIEEE Transactions on Power Electronics
Volume27
Issue number7
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Induction motor
  • observer
  • predictive torque control
  • sensorless drive

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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