Finite-control-set model predictive control for PMSM systems driven by three-phase four-switch fault-tolerant inverter

Teng, QF; Li, GF; Zhu, JG; Guo, YG

Finite-control-set model predictive control for PMSM systems driven by three-phase four-switch fault-tolerant inverter

Teng, QF Li, GF Zhu, JG Guo, YG

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Publication Type:: Journal Article
Citation:: Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2016, 20, (10), pp. 15-22
Issue Date:: 2016-10-01

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Field	Value	Language
dc.contributor.author	Teng, QF
dc.contributor.author	Li, GF
dc.contributor.author	Zhu, JG
dc.contributor.author	Guo, YG
dc.date.accessioned	2023-03-09T10:03:55Z
dc.date.available	2023-03-09T10:03:55Z
dc.date.issued	2016-10-01
dc.identifier.citation	Dianji yu Kongzhi Xuebao/Electric Machines and Control, 2016, 20, (10), pp. 15-22
dc.identifier.issn	1007-449X
dc.identifier.uri	http://hdl.handle.net/10453/166881
dc.description.abstract	Based on three-phase four-switch inverter, a finite-control-set model predictive control (FCS-MPC) strategy is proposed for permanent magnet synchronous motor (PMSM) drive system with MRAS observer. Because of the reason that permanent magnet flux linkage is varied with temperature change, a MRAS observer was designed to identify permanent magnet flux online. In order to improve the inverter reliability, its switch frequency optimization was taken into account in designing cost function of FCS-MPC. Compared with conventional FCS-MPC, the proposed one in this paper obviously reduces the computation amount of control system. Meanwhile the current feedback characteristic provided by this method can automatically suppress the adverse effect resulting from two capacitor voltages' unbalance of DC bus terminal in three-phase four-switch inverter. Numerical simulation results illustrate that the proposed FCS-MPC can enable whole system to not only run continuously and stably but also achieve satisfactory torque and speed control as well as reduce the average inverter switching frequency.
dc.language	en
dc.relation.ispartof	Dianji yu Kongzhi Xuebao/Electric Machines and Control
dc.relation.isbasedon	10.15938/j.emc.2016.10.003
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Finite-control-set model predictive control for PMSM systems driven by three-phase four-switch fault-tolerant inverter
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	1099 Other Technology
utslib.for	090607 Power and Energy Systems Engineering (excl. Renewable Power)
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-09T10:03:54Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	10

Abstract:

Based on three-phase four-switch inverter, a finite-control-set model predictive control (FCS-MPC) strategy is proposed for permanent magnet synchronous motor (PMSM) drive system with MRAS observer. Because of the reason that permanent magnet flux linkage is varied with temperature change, a MRAS observer was designed to identify permanent magnet flux online. In order to improve the inverter reliability, its switch frequency optimization was taken into account in designing cost function of FCS-MPC. Compared with conventional FCS-MPC, the proposed one in this paper obviously reduces the computation amount of control system. Meanwhile the current feedback characteristic provided by this method can automatically suppress the adverse effect resulting from two capacitor voltages' unbalance of DC bus terminal in three-phase four-switch inverter. Numerical simulation results illustrate that the proposed FCS-MPC can enable whole system to not only run continuously and stably but also achieve satisfactory torque and speed control as well as reduce the average inverter switching frequency.

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http://hdl.handle.net/10453/166881