A Novel Self-tuning Speed Control Scheme for the Permanent Magnet Synchronous Motor

Chen, C; Chen, Z; Li, Y; Liu, X; Guo, Y

A Novel Self-tuning Speed Control Scheme for the Permanent Magnet Synchronous Motor

Chen, C Chen, Z Li, Y Liu, X Guo, Y

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: The Proceedings of the 17th Annual Conference of China Electrotechnical Society, 2023, 1013 LNEE, pp. 649-661
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Chen, C
dc.contributor.author	Chen, Z
dc.contributor.author	Li, Y
dc.contributor.author	Liu, X
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684
dc.date.accessioned	2023-11-28T01:05:59Z
dc.date.available	2023-11-28T01:05:59Z
dc.date.issued	2023-01-01
dc.identifier.citation	The Proceedings of the 17th Annual Conference of China Electrotechnical Society, 2023, 1013 LNEE, pp. 649-661
dc.identifier.isbn	9789819904501
dc.identifier.uri	http://hdl.handle.net/10453/173594
dc.description.abstract	For the permanent magnet synchronous motor (PMSM), it is challenging to control the speed under the varying conditions, such as wide-speed range and sudden load. Therefore, a novel self-tuning speed controller is proposed for the current source inverter fed three-phase PMSM. This scheme includes two parts: the single-neuron based controller and the parameter self-tuning algorithm in real time. The controller takes the error as the input, and combines the proportional item and the modified active function to meet the actual requirements. Based on the stochastic gradient descent algorithm and the PMSM mathematical model, the real-time online self-tuning of the parameters including the weight and bias is achieved, and the other parameters like the proportional coefficient and learning rate can be easily obtained. With the proposed speed control scheme, the dynamic response and adaptive ability can be improved. Especially under the condition of the wide speed range, the settle time changes little, and the overshoot of the system decreases with the increase of speed. And the parameters of this scheme can be self-tuned in online. The comparison experiments have been executed to verify the proposed ST controller.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	The Proceedings of the 17th Annual Conference of China Electrotechnical Society
dc.relation.ispartofseries	Lecture Notes in Electrical Engineering
dc.relation.isbasedon	10.1007/978-981-99-0451-8_66
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A Novel Self-tuning Speed Control Scheme for the Permanent Magnet Synchronous Motor
dc.type	Chapter
utslib.citation.volume	1013 LNEE
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	2023-11-28T01:05:58Z
pubs.publication-status	Published
pubs.volume	1013 LNEE

Abstract:

For the permanent magnet synchronous motor (PMSM), it is challenging to control the speed under the varying conditions, such as wide-speed range and sudden load. Therefore, a novel self-tuning speed controller is proposed for the current source inverter fed three-phase PMSM. This scheme includes two parts: the single-neuron based controller and the parameter self-tuning algorithm in real time. The controller takes the error as the input, and combines the proportional item and the modified active function to meet the actual requirements. Based on the stochastic gradient descent algorithm and the PMSM mathematical model, the real-time online self-tuning of the parameters including the weight and bias is achieved, and the other parameters like the proportional coefficient and learning rate can be easily obtained. With the proposed speed control scheme, the dynamic response and adaptive ability can be improved. Especially under the condition of the wide speed range, the settle time changes little, and the overshoot of the system decreases with the increase of speed. And the parameters of this scheme can be self-tuned in online. The comparison experiments have been executed to verify the proposed ST controller.

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http://hdl.handle.net/10453/173594