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A simplified model predictive control with two-step horizon based on deadbeat control for PMSM

  • Harbin Institute of Technology

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

Abstract

In this paper, a new two-step horizon finite control set model predictive control (FCS-MPC) is presented for a permanent-magnet synchronous motor (PMSM) system. The deadbeat solution is applied to the second prediction of two-step horizon. The method can be applied to reduce the computational cost and overcome the time delay. To further reduce the computational cost, based on deadbeat strategy, two voltage vector selection methods are proposed to reduce the alternative voltages. The proposed strategies are compared with two traditional two-step prediction algorithms. The feasibility and effectiveness of the proposed strategies are verified by numerical simulations.

Original languageEnglish
Title of host publicationProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages468-473
Number of pages6
ISBN (Electronic)9781538694909
DOIs
StatePublished - Jun 2019
Event14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China
Duration: 19 Jun 201921 Jun 2019

Publication series

NameProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/TerritoryChina
CityXi'an
Period19/06/1921/06/19

Keywords

  • Computational cost
  • Model predictive control
  • PMSM
  • Two-step horizon

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