Selected Prediction Vectors Based FS-PTC for 3L-NPC Inverter Fed Motor Drives

Habibullah, M; Lu, DDC; Xiao, D; Osman, I; Rahman, MF

Selected Prediction Vectors Based FS-PTC for 3L-NPC Inverter Fed Motor Drives

Habibullah, M Lu, DDC

Xiao, D Osman, I Rahman, MF

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Industry Applications, 2017, 53 (4), pp. 3588 - 3597
Issue Date:: 2017-07-01

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Field	Value	Language
dc.contributor.author	Habibullah, M	en_US
dc.contributor.author	Lu, DDC https://orcid.org/0000-0003-2145-0580	en_US
dc.contributor.author	Xiao, D	en_US
dc.contributor.author	Osman, I	en_US
dc.contributor.author	Rahman, MF	en_US
dc.date.issued	2017-07-01	en_US
dc.identifier.citation	IEEE Transactions on Industry Applications, 2017, 53 (4), pp. 3588 - 3597	en_US
dc.identifier.issn	0093-9994	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125280
dc.description.abstract	© 1972-2012 IEEE. Computational burden is a major hurdle for practical implementation of finite-state predictive torque control (FS-PTC) of motor drive fed by a multilevel inverter. One of the reasons of computational complexity is that all voltage vectors are evaluated for prediction and actuation. This paper proposes a reduced number of voltage vectors for the prediction and actuation, which are called prediction vectors in FS-PTC. The performance is investigated for a three-level neutral-point clamped inverter fed motor drive in terms of torque and flux response, stator current total harmonic distortion, robustness, average switching frequency, and neutral-point voltage variation. The number of prediction vectors is reduced based on the position of stator flux and the deviation in stator flux from its reference. Experimental results confirm that the computational burden could be reduced by 38%, while the dynamic performance is comparable with the conventional all voltage vectors based FS-PTC.	en_US
dc.relation.ispartof	IEEE Transactions on Industry Applications	en_US
dc.relation.isbasedon	10.1109/TIA.2017.2677362	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Selected Prediction Vectors Based FS-PTC for 3L-NPC Inverter Fed Motor Drives	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	53	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
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	closed_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	53	en_US

Abstract:

© 1972-2012 IEEE. Computational burden is a major hurdle for practical implementation of finite-state predictive torque control (FS-PTC) of motor drive fed by a multilevel inverter. One of the reasons of computational complexity is that all voltage vectors are evaluated for prediction and actuation. This paper proposes a reduced number of voltage vectors for the prediction and actuation, which are called prediction vectors in FS-PTC. The performance is investigated for a three-level neutral-point clamped inverter fed motor drive in terms of torque and flux response, stator current total harmonic distortion, robustness, average switching frequency, and neutral-point voltage variation. The number of prediction vectors is reduced based on the position of stator flux and the deviation in stator flux from its reference. Experimental results confirm that the computational burden could be reduced by 38%, while the dynamic performance is comparable with the conventional all voltage vectors based FS-PTC.

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http://hdl.handle.net/10453/125280