Deadbeat Control for AC Drive Systems with Optimal Dynamic Performance

Wei Tian, Qifan Yang, Xinyue Li, Xiaonan Gao, Xiao Chen, Ralph Kennel

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

3 Scopus citations

Abstract

The deadbeat current control generates the reference modulation voltage to achieve zero current error in one sampling interval. In traditional deadbeat control, this reference voltage is always be restricted to the linear modulation region of the space vector modulation (SVM). However, this restriction results in a reduced performance during large transients due to the under utilization of the dc-link voltage. This paper presents an optimal dynamic performance deadbeat current control for ac drive systems with maximum dc-link utilization. A computationally efficient optimization method is proposed to find the optimal switch vector when the reference voltage of deadbeat control exceeds the voltage capability of the converter. The effectiveness of the proposed deadbeat control scheme for induction machine (IM) and permanent-magnet synchronous machine (PMSM) is verified by simulation results.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5777-5783
Number of pages7
ISBN (Electronic)9781728158266
DOIs
StatePublished - 11 Oct 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 11 Oct 202015 Oct 2020

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period11/10/2015/10/20

Keywords

  • constrained quadratic programming
  • deadbeat control
  • induction machine
  • model predictive control
  • permanent-magnet synchronous machine

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