Improved Deadbeat Predictive Current Control With Extended State Observer for Dual Three-Phase PMSMs

Sun, X; Lin, X; Guo, D; Lei, G; Yao, M

Improved Deadbeat Predictive Current Control With Extended State Observer for Dual Three-Phase PMSMs

Sun, X Lin, X Guo, D Lei, G

Yao, M

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Electronics, 2024, 39, (6), pp. 6769-6782
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Sun, X
dc.contributor.author	Lin, X
dc.contributor.author	Guo, D
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Yao, M
dc.date.accessioned	2024-08-07T04:57:48Z
dc.date.available	2024-08-07T04:57:48Z
dc.date.issued	2024-06-01
dc.identifier.citation	IEEE Transactions on Power Electronics, 2024, 39, (6), pp. 6769-6782
dc.identifier.issn	0885-8993
dc.identifier.issn	1941-0107
dc.identifier.uri	http://hdl.handle.net/10453/180253
dc.description.abstract	A deadbeat predictive current control (DPCC) method based on extended state observer (ESO) is proposed to improve the control performance of dual three-phase permanent magnet synchronous motors (DTP-PMSMs) under parameter mismatch. A variable gain coefficient related to the exponential function of tracking error is proposed to enhance the observer's convergence and robustness under complex conditions. Furthermore, the prediction delay problem of DPCC model under digital hardware is studied, and an improved prediction method is proposed to compensate for the delay time, reducing the response time and overshoot of the system under the DPCC algorithm. The proposed ESO is combined with the improved prediction model, and DPCC with two-sample delays is employed to reduce the prediction current error and enhance the control performance of the algorithm in practical applications. The stability of the system is demonstrated using the Hurwitz Criterion. Experimental results validate the superiority and feasibility of the proposed algorithm for the control and drive of DTP-PMSMs.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Power Electronics
dc.relation.isbasedon	10.1109/TPEL.2024.3370622
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	Improved Deadbeat Predictive Current Control With Extended State Observer for Dual Three-Phase PMSMs
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	2024-08-07T04:57:37Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	39
utslib.citation.issue	6

Abstract:

A deadbeat predictive current control (DPCC) method based on extended state observer (ESO) is proposed to improve the control performance of dual three-phase permanent magnet synchronous motors (DTP-PMSMs) under parameter mismatch. A variable gain coefficient related to the exponential function of tracking error is proposed to enhance the observer's convergence and robustness under complex conditions. Furthermore, the prediction delay problem of DPCC model under digital hardware is studied, and an improved prediction method is proposed to compensate for the delay time, reducing the response time and overshoot of the system under the DPCC algorithm. The proposed ESO is combined with the improved prediction model, and DPCC with two-sample delays is employed to reduce the prediction current error and enhance the control performance of the algorithm in practical applications. The stability of the system is demonstrated using the Hurwitz Criterion. Experimental results validate the superiority and feasibility of the proposed algorithm for the control and drive of DTP-PMSMs.

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http://hdl.handle.net/10453/180253