An Improved Finite-set Model Predictive Torque Control for Interior Permanent Magnet Synchronous Motor Drives

Xinan Zhang, Gilbert Foo, Tung Ngo

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Abstract

This paper presents a deadbeat based finite-set model predictive torque control (FS-MPTC) for interior permanent magnet synchronous motor drives. The proposed method contributes to significantly reduce the comparatively high torque ripples experienced in conventional FS-MPTC by using two voltage vectors (VVs) in one sampling cycle. The duty ratio of active VV is determined based on deadbeat torque regulation principle, which equivalently increases the weighting of torque control in FS-MPTC. This may lead to flux de-regulation under certain circumstances. To overcome this obstacle, a simple but effective trade-off scheme is proposed based on flux errors. The validity of the proposed method is verified through simulations.

Original languageEnglish
Title of host publication2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Place of PublicationJapan
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1724-1729
Number of pages6
ISBN (Electronic)9784886864055
DOIs
Publication statusPublished - 22 Oct 2018
Externally publishedYes
Event8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 - Niigata, Japan
Duration: 20 May 201824 May 2018

Publication series

Name2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018

Conference

Conference8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
CountryJapan
CityNiigata
Period20/05/1824/05/18

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