Sensorless Control of High-Speed PMSM Based on Cascade High-Order Extended State Observer for Flywheel Energy Storage System

Xu, K; Guo, Y; Lei, G; Zhu, J

Sensorless Control of High-Speed PMSM Based on Cascade High-Order Extended State Observer for Flywheel Energy Storage System

Xu, K Guo, Y

Lei, G

Zhu, J

Permalink

Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2025, PP, (99)
Issue Date:: 2025-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted versionAdobe PDF (2.69 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Xu, K
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Zhu, J
dc.date.accessioned	2025-11-28T06:41:39Z
dc.date.available	2025-11-28T06:41:39Z
dc.date.issued	2025-01-01
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2025, PP, (99)
dc.identifier.issn	0278-0046
dc.identifier.issn	1557-9948
dc.identifier.uri	http://hdl.handle.net/10453/190812
dc.description.abstract	Sensorless control of high-speed permanent magnet synchronous motors (HSPMSMs) using the conventional extended state observer (ESO) exhibits limitations in accurately estimating the back electromotive force (BEMF). Such phase delays adversely affect the performance and dynamic response of HSPMSMs. To address this issue, a cascade high-order extended state observer (CHESO) is proposed to enhance position estimation and speed control of HSPMSMs. The effectiveness of the CHESO in extending the observation bandwidth and improving control accuracy is demonstrated. In the proposed two-level CHESO architecture, the BEMF is accurately estimated at the first level, while position, load torque, and uncertain disturbances are concurrently estimated at the second level. Subsequently, the estimated disturbances and load torque are employed in an adaptive feedforward control strategy to enhance the dynamic performance and anti-disturbance capability of the HSPMSM control system. Compared to the conventional ESO, the proposed CHESO minimizes position estimation errors and improves the estimation accuracy of high-speed regions, as verified by experimental results.
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.2025.3598193
dc.rights	info:eu-repo/semantics/openAccess
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	Sensorless Control of High-Speed PMSM Based on Cascade High-Order Extended State Observer for Flywheel Energy Storage System
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	open_access	*
dc.date.updated	2025-11-28T06:41:38Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

Sensorless control of high-speed permanent magnet synchronous motors (HSPMSMs) using the conventional extended state observer (ESO) exhibits limitations in accurately estimating the back electromotive force (BEMF). Such phase delays adversely affect the performance and dynamic response of HSPMSMs. To address this issue, a cascade high-order extended state observer (CHESO) is proposed to enhance position estimation and speed control of HSPMSMs. The effectiveness of the CHESO in extending the observation bandwidth and improving control accuracy is demonstrated. In the proposed two-level CHESO architecture, the BEMF is accurately estimated at the first level, while position, load torque, and uncertain disturbances are concurrently estimated at the second level. Subsequently, the estimated disturbances and load torque are employed in an adaptive feedforward control strategy to enhance the dynamic performance and anti-disturbance capability of the HSPMSM control system. Compared to the conventional ESO, the proposed CHESO minimizes position estimation errors and improves the estimation accuracy of high-speed regions, as verified by experimental results.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/190812