Multi-virtual-vector model predictive current control for dual three-phase PMSM

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Tianjiao Luan
  • Zhichao Wang
  • Yang Long
  • Zhen Zhang
  • Qi Li
  • Zhihao Zhu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number7292
Journal / PublicationEnergies
Volume14
Issue number21
Online published3 Nov 2021
Publication statusPublished - Nov 2021

Link(s)

Abstract

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

Research Area(s)

  • model predictive control, Multiphase electric drives, PMSM

Citation Format(s)

Multi-virtual-vector model predictive current control for dual three-phase PMSM. / Luan, Tianjiao; Wang, Zhichao; Long, Yang; Zhang, Zhen; Li, Qi; Zhu, Zhihao; Liu, Chunhua.

In: Energies, Vol. 14, No. 21, 7292, 11.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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