UM  > Faculty of Science and Technology  > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Model reference adaptive control with perturbation estimation for a micropositioning system
Xu Q.1; Jia M.2
2014
Source PublicationIEEE Transactions on Control Systems Technology
ISSN10636536
Volume22Issue:1Pages:352
Abstract

This brief presents a scheme of model reference adaptive control with perturbation estimation (MRACPE) for precise motion control of a piezoelectric actuation micropositioning system. One advantage of the proposed scheme lies in the fact that the size of tracking error can be predesigned, which is desirable in practice. A second-order nominal system is assumed, and the unmodeled dynamics and nonlinearity effect are treated as a lumped perturbation, which is approximated by a perturbation estimation technique. A dead-zone modification of the adaptive rules is introduced to mitigate the parameter drifts and to speed up the parameter convergence. Moreover, the proposed MRACPE scheme employs the desired displacement trajectory rather than the voltage signal as the reference input. The stability of the closed-loop control system is proved through Lyapunov stability analysis. Experimental studies show that the MRACPE is superior to conventional proportional-integral-derivative control in terms of positioning accuracy for both set-point and sinusoidal positioning tasks, which is enabled by a significantly enlarged control bandwidth. © 2013 IEEE.

KeywordAdaptive Control Disturbance Hysteresis Micro/nanopositioning Motion Control Piezoelectric Actuators
DOI10.1109/TCST.2013.2248061
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000328962500036
The Source to ArticleScopus
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Cited Times [WOS]:50   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Macao, China
2.School of Mechanical Engineering, Southeast University, Nanjing 211189, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xu Q.,Jia M.. Model reference adaptive control with perturbation estimation for a micropositioning system[J]. IEEE Transactions on Control Systems Technology,2014,22(1):352.
APA Xu Q.,&Jia M..(2014).Model reference adaptive control with perturbation estimation for a micropositioning system.IEEE Transactions on Control Systems Technology,22(1),352.
MLA Xu Q.,et al."Model reference adaptive control with perturbation estimation for a micropositioning system".IEEE Transactions on Control Systems Technology 22.1(2014):352.
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