Current sensorless-based model predictive control for PMSM drive system

Teng, QF; Cui, HW; Zhu, JG; Guo, YG; Tian, J

Current sensorless-based model predictive control for PMSM drive system

Teng, QF Cui, HW Zhu, JG Guo, YG Tian, J

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Publisher:: Editorial Board of Electric Machines and Control
Publication Type:: Journal Article
Citation:: Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2019, 23, (5), pp. 119-128
Issue Date:: 2019-05-01

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	基于无电流传感器的永磁同步电机系统模型预测控制_滕青芳 (1).pdf	Published version	2.66 MB	Adobe PDF	View/Open

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Field	Value	Language
dc.contributor.author	Teng, QF
dc.contributor.author	Cui, HW
dc.contributor.author	Zhu, JG
dc.contributor.author	Guo, YG
dc.contributor.author	Tian, J
dc.date.accessioned	2020-05-20T04:03:13Z
dc.date.available	2020-05-20T04:03:13Z
dc.date.issued	2019-05-01
dc.identifier.citation	Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2019, 23, (5), pp. 119-128
dc.identifier.issn	1007-449X
dc.identifier.uri	http://hdl.handle.net/10453/140837
dc.description.abstract	© 2019, Harbin University of Science and Technology Publication. All right reserved. Based on extended state observer (ESO), a novel model predictive torque control (MPTC) strategy was developed for three phase permanent magnet synchronous motor (PMSM) drive system with current sensorless. To achieve high precision control, generally two phase current sensors are indispensable for successful operation of the feedback control. For this purpose, by use of technique of ESO, a new observer for estimating three phase currents and time-varying stator resistance was put forward. Moreover, to reduce torque and flux ripples and improve the performance of the torque and speed, MPTC strategy was employed. The resultant ESO-based MPTC strategy enables PMSM drive system not only to run stably and reliably but also to have satisfactory control performance and strong robustness. The simulation results validate the feasibility and effectiveness of the proposed scheme.
dc.language	en
dc.publisher	Editorial Board of Electric Machines and Control
dc.relation.ispartof	Dianji yu Kongzhi Xuebao/Electric Machines and Control
dc.relation.isbasedon	10.15938/j.emc.2019.05.015
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Current sensorless-based model predictive control for PMSM drive system
dc.type	Journal Article
utslib.citation.volume	23
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CCET - Centre for Clean Energy Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-05-20T04:03:08Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	23
utslib.start-page	119
utslib.citation.issue	5

Abstract:

© 2019, Harbin University of Science and Technology Publication. All right reserved. Based on extended state observer (ESO), a novel model predictive torque control (MPTC) strategy was developed for three phase permanent magnet synchronous motor (PMSM) drive system with current sensorless. To achieve high precision control, generally two phase current sensors are indispensable for successful operation of the feedback control. For this purpose, by use of technique of ESO, a new observer for estimating three phase currents and time-varying stator resistance was put forward. Moreover, to reduce torque and flux ripples and improve the performance of the torque and speed, MPTC strategy was employed. The resultant ESO-based MPTC strategy enables PMSM drive system not only to run stably and reliably but also to have satisfactory control performance and strong robustness. The simulation results validate the feasibility and effectiveness of the proposed scheme.

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http://hdl.handle.net/10453/140837