PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor

Duong, HQ; Nguyen, QH; Nguyen, DT; Van Nguyen, L

PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor

Duong, HQ Nguyen, QH Nguyen, DT Van Nguyen, L

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Publisher:: Ital Publication
Publication Type:: Journal Article
Citation:: Emerging Science Journal, 2022, 6, (2), pp. 201-216
Issue Date:: 2022-04-01

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Field	Value	Language
dc.contributor.author	Duong, HQ
dc.contributor.author	Nguyen, QH
dc.contributor.author	Nguyen, DT
dc.contributor.author	Van Nguyen, L
dc.date.accessioned	2023-07-08T00:37:24Z
dc.date.available	2023-07-08T00:37:24Z
dc.date.issued	2022-04-01
dc.identifier.citation	Emerging Science Journal, 2022, 6, (2), pp. 201-216
dc.identifier.issn	2610-9182
dc.identifier.issn	2610-9182
dc.identifier.uri	http://hdl.handle.net/10453/171322
dc.description.abstract	This paper proposes a hybrid control system integrating a PID controller and a fuzzy logic controller, using the particle swarm optimization (PSO) algorithm to optimize control parameters. The control object is an excitation system for a large synchronous motor, which is widely used in large power transmission systems. In practice, the change in load and excitation source can affect the operating mode of the motor. Therefore, a hybrid controller is designed to stabilize the power factor, resulting in better working performance. In the control algorithm, a PID controller is initially designed using PSO to optimize the control coefficients. The FLC-Sugeno control is then integrated with the PID, in which PSO is utilized to optimize membership functions. Numerical simulation results demonstrate the advantages of the proposed approach.
dc.language	en
dc.publisher	Ital Publication
dc.relation.ispartof	Emerging Science Journal
dc.relation.isbasedon	10.28991/ESJ-2022-06-02-01
dc.rights	info:eu-repo/semantics/openAccess
dc.title	PSO based Hybrid PID-FLC Sugeno Control for Excitation System of Large Synchronous Motor
dc.type	Journal Article
utslib.citation.volume	6
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2023-07-08T00:37:22Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	6
utslib.citation.issue	2

Abstract:

This paper proposes a hybrid control system integrating a PID controller and a fuzzy logic controller, using the particle swarm optimization (PSO) algorithm to optimize control parameters. The control object is an excitation system for a large synchronous motor, which is widely used in large power transmission systems. In practice, the change in load and excitation source can affect the operating mode of the motor. Therefore, a hybrid controller is designed to stabilize the power factor, resulting in better working performance. In the control algorithm, a PID controller is initially designed using PSO to optimize the control coefficients. The FLC-Sugeno control is then integrated with the PID, in which PSO is utilized to optimize membership functions. Numerical simulation results demonstrate the advantages of the proposed approach.

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http://hdl.handle.net/10453/171322