Modeling and identification of nonlinear hysteresis behavior of piezoelectric actuators using a computationally efficient phenomenological model and modified cuckoo search algorithm

Xie, X; Cui, Y; Yu, Y; Chen, P

Modeling and identification of nonlinear hysteresis behavior of piezoelectric actuators using a computationally efficient phenomenological model and modified cuckoo search algorithm

Xie, X Cui, Y Yu, Y

Chen, P

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Publisher:: IOP Publishing Ltd
Publication Type:: Journal Article
Citation:: Smart Materials and Structures, 2023, 32, (1)
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Xie, X
dc.contributor.author	Cui, Y
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191
dc.contributor.author	Chen, P
dc.date.accessioned	2024-04-11T05:27:44Z
dc.date.available	2024-04-11T05:27:44Z
dc.date.issued	2023-01-01
dc.identifier.citation	Smart Materials and Structures, 2023, 32, (1)
dc.identifier.issn	0964-1726
dc.identifier.issn	1361-665X
dc.identifier.uri	http://hdl.handle.net/10453/177738
dc.description.abstract	Hysteresis, an intrinsic characteristic of piezoelectric (PZT) actuators, has been demonstrated to dramatically reduce the capability and stability of the system. This paper proposes a novel computationally efficient model to describe nonlinear and hysteresis behaviors of PZT actuators. First of all, the model parameters are analyzed to investigate their effects on the output response. Then, a modified cuckoo search algorithm is used to identify the model parameters, without falling into the local optimum problems through introducing adaptive egg discovery probability and step length control factor. Further, the performance of the proposed model is validated using experimental data, via the comparison with classical Bouc-Wen and Prandtl-Ishlinskii hysteresis models. Finally, the rate-dependence of the parameters of proposed model is analyzed, which contributes to a generalized hysteresis model for the compensation control application of PZT actuators.
dc.language	English
dc.publisher	IOP Publishing Ltd
dc.relation.ispartof	Smart Materials and Structures
dc.relation.isbasedon	10.1088/1361-665X/aca7a5
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	03 Chemical Sciences, 09 Engineering
dc.subject.classification	Materials
dc.subject.classification	34 Chemical sciences
dc.subject.classification	40 Engineering
dc.title	Modeling and identification of nonlinear hysteresis behavior of piezoelectric actuators using a computationally efficient phenomenological model and modified cuckoo search algorithm
dc.type	Journal Article
utslib.citation.volume	32
utslib.for	03 Chemical 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
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-11T05:27:42Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	32
utslib.citation.issue	1

Abstract:

Hysteresis, an intrinsic characteristic of piezoelectric (PZT) actuators, has been demonstrated to dramatically reduce the capability and stability of the system. This paper proposes a novel computationally efficient model to describe nonlinear and hysteresis behaviors of PZT actuators. First of all, the model parameters are analyzed to investigate their effects on the output response. Then, a modified cuckoo search algorithm is used to identify the model parameters, without falling into the local optimum problems through introducing adaptive egg discovery probability and step length control factor. Further, the performance of the proposed model is validated using experimental data, via the comparison with classical Bouc-Wen and Prandtl-Ishlinskii hysteresis models. Finally, the rate-dependence of the parameters of proposed model is analyzed, which contributes to a generalized hysteresis model for the compensation control application of PZT actuators.

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http://hdl.handle.net/10453/177738