Robust Predictive Cascaded Speed and Current Control for PMSM Drives Considering Parameter Variations

Sun, X; Su, Z; Lei, G; Yao, M

Robust Predictive Cascaded Speed and Current Control for PMSM Drives Considering Parameter Variations

Sun, X Su, Z Lei, G

Yao, M

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2023, PP, (99)
Issue Date:: 2023-01-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Sun, X
dc.contributor.author	Su, Z
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Yao, M
dc.date.accessioned	2024-02-08T11:56:03Z
dc.date.available	2024-02-08T11:56:03Z
dc.date.issued	2023-01-01
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2023, PP, (99)
dc.identifier.issn	0278-0046
dc.identifier.issn	1557-9948
dc.identifier.uri	http://hdl.handle.net/10453/175507
dc.description.abstract	This article proposes a predictive cascaded speed and current control to improve the dynamic performance and robustness of permanent magnet synchronous motor drives against machine parameter variations. First, a novel model predictive speed controller is developed to achieve high performance and a wide speed range for the speed outer loop, which can minimize the system's inertial link overshoot and settling time. Second, the current inner loop utilizes an incremental current model to eliminate the complexities and variations caused by flux linkage parameters in complex working scenarios. Third, the enhanced model reference adaptive system is proposed for parameter identification, integrating the new fuzzy logic controller within the framework. Additionally, comprehensive compensation of the inverter distortion voltage is implemented to ensure improved dynamic and steady-state effectiveness, resulting in enhanced performance and higher control accuracy. Finally, experimental validation on a dSPACE system with a sampling frequency of 20 kHz demonstrates the stability and effectiveness of the proposed method.
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.2023.3337498
dc.rights	info:eu-repo/semantics/embargoedAccess
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	Robust Predictive Cascaded Speed and Current Control for PMSM Drives Considering Parameter Variations
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	embargoed	*
utslib.copyright.embargo	2025-01-01T00:00:00+1000Z
dc.date.updated	2024-02-08T11:55:59Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	PP
utslib.citation.issue	99

Abstract:

This article proposes a predictive cascaded speed and current control to improve the dynamic performance and robustness of permanent magnet synchronous motor drives against machine parameter variations. First, a novel model predictive speed controller is developed to achieve high performance and a wide speed range for the speed outer loop, which can minimize the system's inertial link overshoot and settling time. Second, the current inner loop utilizes an incremental current model to eliminate the complexities and variations caused by flux linkage parameters in complex working scenarios. Third, the enhanced model reference adaptive system is proposed for parameter identification, integrating the new fuzzy logic controller within the framework. Additionally, comprehensive compensation of the inverter distortion voltage is implemented to ensure improved dynamic and steady-state effectiveness, resulting in enhanced performance and higher control accuracy. Finally, experimental validation on a dSPACE system with a sampling frequency of 20 kHz demonstrates the stability and effectiveness of the proposed method.

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

http://hdl.handle.net/10453/175507