Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM

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

Abstract

This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.

Original languageEnglish
Title of host publication2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1081-1086
Number of pages6
ISBN (Electronic)9781665479059
DOIs
Publication statusPublished - 2022
Event5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 - Chongqing, China
Duration: 22 Apr 202224 Apr 2022

Publication series

Name2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

Conference

Conference5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
Country/TerritoryChina
CityChongqing
Period22/04/2224/04/22

Keywords

  • Finite-element-based model
  • IPMSM
  • interior permanent magnet
  • low complexity
  • predictive control
  • ripple reduction
  • voltage vectors

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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