Predictive current control of an induction machine by using dichotomy-based method

Xuezhu Mei, Fengxiang Wang, Anjun Xia, Zhixun Ma, Zhenbin Zhang, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents a novel model predictive current control method for induction machine with constant switching frequency. Using model predictive current control, a cost function considering error between the reference current and the predicted current is designed. A numerical method of quasi-continuous reference voltage calculation based on dichotomy is applied to generate the optimized reference voltage vectors which are selected as the input of PWM before switching the inverter. This can significantly improve the current quality, reduce the torque ripples and ensure fixed switching frequency of the inverter. The proposed method is verified by simulation, in which the induction motor operates with high performance.

Original languageEnglish
Title of host publication2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3368-3373
Number of pages6
ISBN (Electronic)9781509012107
DOIs
StatePublished - 13 Jul 2016
Event8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China
Duration: 22 May 201626 May 2016

Publication series

Name2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Conference

Conference8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/TerritoryChina
CityHefei
Period22/05/1626/05/16

Keywords

  • induction machine
  • predictive current control
  • pulse width modulation

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