Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

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 <i>α-β</i> subspace, the harmonic su...

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Autores principales:	Tianjiao Luan, Zhichao Wang, Yang Long, Zhen Zhang, Qi Li, Zhihao Zhu, Chunhua Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	model predictive control multiphase electric drives PMSM Technology T
Acceso en línea:	https://doaj.org/article/74466aeca16243cf905937671d01ec3b
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spelling	oai:doaj.org-article:74466aeca16243cf905937671d01ec3b2021-11-11T16:02:11ZMulti-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM10.3390/en142172921996-1073https://doaj.org/article/74466aeca16243cf905937671d01ec3b2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7292https://doaj.org/toc/1996-1073This 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 <i>α-β</i> subspace, the harmonic subspace termed <i>x-y</i> is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of <i>x-y</i> 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 <i>x-y</i> 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.Tianjiao LuanZhichao WangYang LongZhen ZhangQi LiZhihao ZhuChunhua LiuMDPI AGarticlemodel predictive controlmultiphase electric drivesPMSMTechnologyTENEnergies, Vol 14, Iss 7292, p 7292 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	model predictive control multiphase electric drives PMSM Technology T
spellingShingle	model predictive control multiphase electric drives PMSM Technology T Tianjiao Luan Zhichao Wang Yang Long Zhen Zhang Qi Li Zhihao Zhu Chunhua Liu Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
description	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 <i>α-β</i> subspace, the harmonic subspace termed <i>x-y</i> is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of <i>x-y</i> 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 <i>x-y</i> 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.
format	article
author	Tianjiao Luan Zhichao Wang Yang Long Zhen Zhang Qi Li Zhihao Zhu Chunhua Liu
author_facet	Tianjiao Luan Zhichao Wang Yang Long Zhen Zhang Qi Li Zhihao Zhu Chunhua Liu
author_sort	Tianjiao Luan
title	Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
title_short	Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
title_full	Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
title_fullStr	Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
title_full_unstemmed	Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM
title_sort	multi-virtual-vector model predictive current control for dual three-phase pmsm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/74466aeca16243cf905937671d01ec3b
work_keys_str_mv	AT tianjiaoluan multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT zhichaowang multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT yanglong multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT zhenzhang multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT qili multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT zhihaozhu multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm AT chunhualiu multivirtualvectormodelpredictivecurrentcontrolfordualthreephasepmsm
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Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

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