An improved FCS-MPC algorithm for an induction motor with an imposed optimized weighting factor

S. Alireza Davari, Davood Arab Khaburi, Ralph Kennel

Research output: Contribution to journalArticlepeer-review

394 Citations (Scopus)

Abstract

In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is calculated via an optimization method. The optimization is based on dividing the control interval into two parts: active time for applying the active voltage vectors and zero time for applying the zero voltage. With this technique, the torque ripple is calculated as a function of weighting factor and it is optimized. The method is validated by simulations and experiments, using two-level inverter, at two speed regions (nominal speed and low speed). The results are compared with conventional FCS-MPC.

Original languageEnglish
Article number5955125
Pages (from-to)1540-1551
Number of pages12
JournalIEEE Transactions on Power Electronics
Volume27
Issue number3
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Cost function
  • induction motor
  • predictive torque control (PTC)
  • two-level VSI

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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