Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification

Jin, P; Wang, W; Guo, Y; Lei, G; Zhu, J

Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification

Jin, P Wang, W Guo, Y Lei, G

Zhu, J

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2023, 00, pp. 1-6
Issue Date:: 2023-07-11

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Field	Value	Language
dc.contributor.author	Jin, P
dc.contributor.author	Wang, W
dc.contributor.author	Guo, Y
dc.contributor.author	Lei, G https://orcid.org/0000-0002-8369-6802
dc.contributor.author	Zhu, J
dc.date	2023-06-16
dc.date.accessioned	2024-04-19T09:36:50Z
dc.date.available	2024-04-19T09:36:50Z
dc.date.issued	2023-07-11
dc.identifier.citation	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2023, 00, pp. 1-6
dc.identifier.isbn	9798350396867
dc.identifier.uri	http://hdl.handle.net/10453/178099
dc.description.abstract	This paper proposes a novel fully predictive control FPC for permanent magnet synchronous machine PMSM which adopts the techniques of online parameter identification and position sensorless The FPC comprises a speed outer loop and a current inner loop Online parameter identification with recursive least squares RLS OPI is used to get PMSM s resistance magnetic linkage and inductance Position sensorless with a derivative free disturbance observer DFDO is used to obtain the speed and torque The simulation and experimental results show that the proposed control algorithm has a faster response and better dynamic performance in different temperatures
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
dc.relation.ispartof	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics
dc.relation.isbasedon	10.1109/precede57319.2023.10174513
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Wuhan, China
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	2024-04-19T09:36:47Z
pubs.finish-date	2023-06-19
pubs.publication-status	Published
pubs.start-date	2023-06-16
pubs.volume	00

Abstract:

This paper proposes a novel fully predictive control FPC for permanent magnet synchronous machine PMSM which adopts the techniques of online parameter identification and position sensorless The FPC comprises a speed outer loop and a current inner loop Online parameter identification with recursive least squares RLS OPI is used to get PMSM s resistance magnetic linkage and inductance Position sensorless with a derivative free disturbance observer DFDO is used to obtain the speed and torque The simulation and experimental results show that the proposed control algorithm has a faster response and better dynamic performance in different temperatures

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http://hdl.handle.net/10453/178099