Real Time Selective Harmonic Control - PWM Based on Artificial Neural Networks

Ibanez-Hidalgo, I; Sanchez-Ruiz, A; Perez-Basante, A; Zubizarreta, A; Ceballos, S; Gil-Lopez, S; Aguilera, RP

Real Time Selective Harmonic Control - PWM Based on Artificial Neural Networks

Ibanez-Hidalgo, I Sanchez-Ruiz, A Perez-Basante, A Zubizarreta, A Ceballos, S Gil-Lopez, S Aguilera, RP

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2024, 39, (1), pp. 768-783
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Ibanez-Hidalgo, I
dc.contributor.author	Sanchez-Ruiz, A
dc.contributor.author	Perez-Basante, A
dc.contributor.author	Zubizarreta, A
dc.contributor.author	Ceballos, S
dc.contributor.author	Gil-Lopez, S
dc.contributor.author	Aguilera, RP
dc.date.accessioned	2024-08-07T04:26:15Z
dc.date.available	2024-08-07T04:26:15Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Power Electronics, 2024, 39, (1), pp. 768-783
dc.identifier.issn	0885-8993
dc.identifier.issn	1941-0107
dc.identifier.uri	http://hdl.handle.net/10453/180187
dc.description.abstract	Selective harmonic elimination-pulse width modulation (SHE-PWM) is a widely used low switching frequency modulation technique for medium-voltage high-power converters. This approach is able to adjust the converter fundamental component while eliminating low-order harmonics. However, some applications such as active power filters (APFs) require regulating simultaneously, both the fundamental and low-order harmonics in amplitude and phase. This article presents a novel selective harmonic control-PWM (SHC-PWM) modulator, valid for APFs, based on artificial neural networks (ANNs) and sequential quadratic programming (SQP). A new offline search methodology, based on a hybrid metaheuristic-numerical algorithm, is defined to calculate the solution space when both the fundamental and a low-order harmonic are controlled in phase and amplitude. The solutions obtained are used to train the ANNs offline. Afterwards, the ANN + SQP calculation method is used to solve the SHC-PWM problem in real-time (RT). Experimental results are provided for a three-level converter to verify the effectiveness of the proposed RT control method.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation	http://purl.org/au-research/grants/arc/DP210101382
dc.relation.ispartof	IEEE Transactions on Power Electronics
dc.relation.isbasedon	10.1109/TPEL.2023.3322500
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	4008 Electrical engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Real Time Selective Harmonic Control - PWM Based on Artificial Neural Networks
dc.type	Journal Article
utslib.citation.volume	39
utslib.for	0906 Electrical and Electronic Engineering
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	*
dc.date.updated	2024-08-07T04:26:10Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	39
utslib.citation.issue	1

Abstract:

Selective harmonic elimination-pulse width modulation (SHE-PWM) is a widely used low switching frequency modulation technique for medium-voltage high-power converters. This approach is able to adjust the converter fundamental component while eliminating low-order harmonics. However, some applications such as active power filters (APFs) require regulating simultaneously, both the fundamental and low-order harmonics in amplitude and phase. This article presents a novel selective harmonic control-PWM (SHC-PWM) modulator, valid for APFs, based on artificial neural networks (ANNs) and sequential quadratic programming (SQP). A new offline search methodology, based on a hybrid metaheuristic-numerical algorithm, is defined to calculate the solution space when both the fundamental and a low-order harmonic are controlled in phase and amplitude. The solutions obtained are used to train the ANNs offline. Afterwards, the ANN + SQP calculation method is used to solve the SHC-PWM problem in real-time (RT). Experimental results are provided for a three-level converter to verify the effectiveness of the proposed RT control method.

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http://hdl.handle.net/10453/180187