UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Residential Collegefalse
Status已發表Published
LuGre model based hysteresis compensation of a piezo-actuated mechanism
Wang G.; Xu Q.
2017
Source PublicationAdvances in Intelligent Systems and Computing
PublisherSpringer, Cham
Pages645-657
Abstract

This paper presents a combined feedforward plus feedback control approach to compensate the hysteresis effect, which degrades the positioning accuracy of piezo-actuated mechanism. The LuGre friction model is extended to represent the nonlinear dynamics of the piezo-actuated positioning mechanism, and then the unknown model parameters are identified with the particle swarm optimization (PSO). Based on the developed mathematical model, the inverse LuGre model based feedforward plus feedback control is designed for the motion tracking control. Experimental results show that the LuGre model based hybrid control approach achieves a satisfactory position tracking performance. Owing to a simple structure, the proposed control approach can be implemented in other types of hysteretic systems.

KeywordHysteresis Model Lugre Model Micropositioning Piezoelectric Actuators Precision Motion Control
DOI10.1007/978-3-319-48036-7_47
URLView the original
Volume531
WOS IDWOS:000406996500047
Scopus ID2-s2.0-85013070364
Fulltext Access
Citation statistics
Document TypeBook chapter
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorXu Q.
AffiliationUniversity of Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Wang G.,Xu Q.. LuGre model based hysteresis compensation of a piezo-actuated mechanism[M]. Advances in Intelligent Systems and Computing:Springer, Cham, 2017, 645-657.
APA Wang G.., & Xu Q. (2017). LuGre model based hysteresis compensation of a piezo-actuated mechanism. Advances in Intelligent Systems and Computing, 531, 645-657.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang G.]'s Articles
[Xu Q.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang G.]'s Articles
[Xu Q.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang G.]'s Articles
[Xu Q.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.