A Hybrid Feedforward-Feedback Hysteresis Compensator in Piezoelectric Actuators Based on Least-Squares Support Vector Machine

Mao, X; Wang, Y; Liu, X; Guo, Y

A Hybrid Feedforward-Feedback Hysteresis Compensator in Piezoelectric Actuators Based on Least-Squares Support Vector Machine

Mao, X Wang, Y Liu, X Guo, Y

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Industrial Electronics, 2018, 65 (7), pp. 5704 - 5711
Issue Date:: 2018-07-01

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Field	Value	Language
dc.contributor.author	Mao, X	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Liu, X	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.date.issued	2018-07-01	en_US
dc.identifier.citation	IEEE Transactions on Industrial Electronics, 2018, 65 (7), pp. 5704 - 5711	en_US
dc.identifier.issn	0278-0046	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124255
dc.description.abstract	© 1982-2012 IEEE. Hysteresis nonlinearity of piezoelectric actuators degrades the positioning accuracy of micro/nanopositioning systems. To overcome this problem, an innovative hysteresis compensator based on least-squares support vector machine (LSSVM) is proposed in this paper. First, the LSSVM hysteresis modeling is presented using nonlinear auto regressive eXogenous (NARX) structure. To compensate for the hysteresis behavior, two feedforward control schemes according to different inputs of NARX model are proposed and analyzed separately. Then, a hybrid feedforward controller combining both the control schemes is put forward to revise the model input. To further improve the tracking performance, the hybrid feedforward control combined with the feedback control is realized. The comparative study reveals the superior tracking performance of feedforward-feedback control scheme over hybrid feedforward control or feedback control. Moreover, the hybrid feedforward-feedback control scheme is capable of tracking different testing waveforms with negligible errors, which confirms the effectiveness and generalization ability of the proposed approach.	en_US
dc.relation.ispartof	IEEE Transactions on Industrial Electronics	en_US
dc.relation.isbasedon	10.1109/TIE.2017.2777398	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Electrical & Electronic Engineering	en_US
dc.title	A Hybrid Feedforward-Feedback Hysteresis Compensator in Piezoelectric Actuators Based on Least-Squares Support Vector Machine	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	65	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
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	open_access	*
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 1982-2012 IEEE. Hysteresis nonlinearity of piezoelectric actuators degrades the positioning accuracy of micro/nanopositioning systems. To overcome this problem, an innovative hysteresis compensator based on least-squares support vector machine (LSSVM) is proposed in this paper. First, the LSSVM hysteresis modeling is presented using nonlinear auto regressive eXogenous (NARX) structure. To compensate for the hysteresis behavior, two feedforward control schemes according to different inputs of NARX model are proposed and analyzed separately. Then, a hybrid feedforward controller combining both the control schemes is put forward to revise the model input. To further improve the tracking performance, the hybrid feedforward control combined with the feedback control is realized. The comparative study reveals the superior tracking performance of feedforward-feedback control scheme over hybrid feedforward control or feedback control. Moreover, the hybrid feedforward-feedback control scheme is capable of tracking different testing waveforms with negligible errors, which confirms the effectiveness and generalization ability of the proposed approach.

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http://hdl.handle.net/10453/124255