Position Sensorless Control of Switched Reluctance Motors Based on Angle Adjustment Using Nonlinear Inductance and Flux Model

Sun, X; Wang, N; Yao, M; Lei, G

Position Sensorless Control of Switched Reluctance Motors Based on Angle Adjustment Using Nonlinear Inductance and Flux Model

Sun, X Wang, N Yao, M Lei, G

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2024, PP, (99)
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Sun, X
dc.contributor.author	Wang, N
dc.contributor.author	Yao, M
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.date.accessioned	2024-08-07T05:44:43Z
dc.date.available	2024-08-07T05:44:43Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2024, PP, (99)
dc.identifier.issn	0278-0046
dc.identifier.issn	1557-9948
dc.identifier.uri	http://hdl.handle.net/10453/180348
dc.description.abstract	This article presents a synthetic sensorless control strategy combining the inductance and simplified flux models for switched reluctance motors (SRMs). First, the initial driving phase is determined by improved phase inductance comparison (IIPC). Second, the SRM’s driving signal is obtained by the improved double inductance threshold (IDIT) method to ensure a reliable and smooth start. Third, to address the challenges posed by the large memory resources and lengthy execution time of the conventional table searching method for flux, the Fourier polynomial is employed to calculate the reference flux. Then, by comparing it with the real-time flux, the Hall signal can be obtained to estimate the rotor position. Moreover, an angle adaptive adjustment method is proposed to satisfy the requirements of different speeds and working conditions.Finally, a six-phase 12/10 pole SRM is used to verify the effectiveness of the proposed sensorless control strategy.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Industrial Electronics
dc.relation.isbasedon	10.1109/TIE.2024.3393123
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Electrical & Electronic Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Position Sensorless Control of Switched Reluctance Motors Based on Angle Adjustment Using Nonlinear Inductance and Flux Model
dc.type	Journal Article
utslib.citation.volume	PP
utslib.for	08 Information and Computing Sciences
utslib.for	09 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	2024-08-07T05:44:40Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

This article presents a synthetic sensorless control strategy combining the inductance and simplified flux models for switched reluctance motors (SRMs). First, the initial driving phase is determined by improved phase inductance comparison (IIPC). Second, the SRM’s driving signal is obtained by the improved double inductance threshold (IDIT) method to ensure a reliable and smooth start. Third, to address the challenges posed by the large memory resources and lengthy execution time of the conventional table searching method for flux, the Fourier polynomial is employed to calculate the reference flux. Then, by comparing it with the real-time flux, the Hall signal can be obtained to estimate the rotor position. Moreover, an angle adaptive adjustment method is proposed to satisfy the requirements of different speeds and working conditions.Finally, a six-phase 12/10 pole SRM is used to verify the effectiveness of the proposed sensorless control strategy.

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http://hdl.handle.net/10453/180348