Discrete Space Vector Modulation Based Model Predictive Flux Control with Reduced Switching Frequency for im Drive

Ilham Osman, Dan Xiao, Muhammed F. Rahman, Margarita Norambuena, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

Abstract

This article presents an optimal model predictive flux control (MPFC) for a two-level inverter fed induction motor. Integrating discrete SVM into FCS-MPFC enhances the performance of the IM drive. However, conventional DSVM-MPFC requires to enumerate and evaluate a higher number of virtual vectors in the prediction loop. In this paper, a high-efficient and low complexity voltage selection method is proposed to reduce the number of candidate voltage vectors from 38 to 15 without any suboptimality. Both steady-state and transient performances of the proposed method remain the same as the 38-vector based conventional DSVM-MPFC, producing the same cost-function values in all operating conditions. Furthermore, an online switching frequency reduction technique is proposed to achieve a minimum commutation per inverter vector change within each sampling cycle and between adjacent cycles. By appropriately arranging the sequence of real voltage vectors in each sampling cycle, a lower average switching frequency is achieved. The proposed switching frequency reduction method decreases the switching losses without compromising the performance of DSVM-MPFC as only the applied sequences of the real voltage vectors are optimized. Experimental studies are conducted to verify the effectiveness of the proposed algorithm.

Original languageEnglish
Article number9238408
Pages (from-to)1357-1367
Number of pages11
JournalIEEE Transactions on Energy Conversion
Volume36
Issue number2
DOIs
Publication statusPublished - Jun 2021

Keywords

  • Cost function
  • flux vector
  • Induction machine drive
  • model predictive flux control (MPFC)
  • switching frequency reduction

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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