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dc.contributor.authorEielsen, Arnfinn Aas
dc.contributor.authorVagia, Marialena
dc.contributor.authorGravdahl, Jan Tommy
dc.contributor.authorPettersen, Kristin Ytterstad
dc.date.accessioned2017-06-08T09:24:32Z
dc.date.available2017-06-08T09:24:32Z
dc.date.created2013-09-18T09:47:53Z
dc.date.issued2013
dc.identifier.citationElsevier IFAC Publications / IFAC Proceedings series. 2013, 28-36.nb_NO
dc.identifier.issn1474-6670
dc.identifier.urihttp://hdl.handle.net/11250/2445407
dc.description.abstractFast and accurate tracking of periodic reference trajectories is highly desirable in many nanopositioning applications, including scanning probe microscopy. Performance in common positioning stage designs is limited by the presence of lightly damped resonances, and actuator nonlinearities such as hysteresis and creep. To improve the tracking performance in such systems, several damping and tracking control schemes have been presented in the literature. In this paper, five different control schemes are presented and applied to a nanopositioning system for experimental comparison. They include schemes applying damping control in the form of positive position feedback, integral resonant control, integral force feedback, and passive shunt-damping. Also, a control scheme requiring only a combination of a low-pass filter and an integrator is presented. The control schemes are fixed-structure, low-order control laws, for which few results exist in the literature with regards to optimal tuning. A practical tuning procedure for obtaining good tracking performance for all of the presented control schemes is therefore presented. The schemes provide similar performance, and the main differences are due to the specific implementation of each scheme.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleFixed-Structure, Low-Order Damping and Tracking Control Schemes for Nanopositioningnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber28-36nb_NO
dc.source.journalElsevier IFAC Publications / IFAC Proceedings seriesnb_NO
dc.identifier.doi10.3182/20130410-3-CN-2034.00026
dc.identifier.cristin1050136
dc.relation.projectNorges forskningsråd: 192427nb_NO
dc.description.localcodeCopyright © 2013 IFAC. Published by Elsevier Ltd. All rights reserved. This is the authors' accepted and refereed manuscript to the article.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode0


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal