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Model-reference adaptive control with perturbation estimation
Qingsong Xu1; Kok Kiong Tan2
2016
Source PublicationAdvances in Industrial Control
Publication PlaceSwitzerland
PublisherSpringer International Publishing
Pages187-205
Abstract

This chapter presents the design and testing of a model-reference adaptive control (MRAC) scheme to compensate for the hysteresis effect of a class of piezo-actuated systems, which possess a second-order nominal model. Specifically, by treating the uncertainties as a lumped perturbation to the nominal system model, a scheme of MRAC with perturbation estimation (MRACPE) is developed and validated on a micropositioning system. As compared with existing works, the reported scheme allows the predesign of the maximum tracking error. It is capable of estimating the unmodeled perturbation of the system online.

DOI10.1007/978-3-319-21623-2_9
URLView the original
ISBN978-3-319-21623-2; 978-3-319-21622-5
Volume174
Indexed ByBKCI-S
WOS IDWOS:000368107000011
WOS SubjectAutomation & Control Systems ; Nanoscience & Nanotechnology
WOS Research AreaAutomation & Control Systems ; Science & Technology - Other Topics
Scopus ID2-s2.0-85018440017
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Citation statistics
Document TypeBook chapter
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding AuthorQingsong Xu; Kok Kiong Tan
Affiliation1.Department of Electromechanical Engineering,University of Macau,Macau,Macao
2.Department of Electrical and Computer Engineering,National University of Singapore,Singapore,Singapore
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Qingsong Xu,Kok Kiong Tan. Model-reference adaptive control with perturbation estimation[M]. Advances in Industrial Control, Switzerland:Springer International Publishing, 2016, 187-205.
APA Qingsong Xu., & Kok Kiong Tan (2016). Model-reference adaptive control with perturbation estimation. Advances in Industrial Control, 174, 187-205.
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