Predictive current control of five phase permanent magnet motor with non-sinusoidal back-EMF

Xicai Liu, Zhenbin Zhang, Xiaonan Gao, Zhixiong Li, Jin Wang, Libing Zhou, Ralph Kennel

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

Abstract

This paper presents a modified predictive current control (PCC) algorithm for five phase permanent magnet motor with non-sinusoidal back electromotive force (back-EMF), which reduces torque ripples and computational burden significantly. A cost function based on voltage tracking errors is proposed. One active voltage vector in combination with one zero voltage vector are applied to the inverter each sampling period. The switching instant is calculated analytically by solving a minimization problem of the cost function. The proposed cost function is evaluated 6 times each sampling period, thus the computational burden is greatly reduced. Simulation results show that torque ripples are greatly reduced and the currents are less distorted by using the proposed method.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages659-664
Number of pages6
ISBN (Electronic)9781509066841
DOIs
StatePublished - 26 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 20 Oct 201823 Oct 2018

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Country/TerritoryUnited States
CityWashington
Period20/10/1823/10/18

Keywords

  • Dead-Beat current control
  • Model Predictive Control
  • Multiphase motor drives
  • Non-sinusoidal back EMF

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