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Title: Automatic drift compensation using phase correlation method for nanomanipulation
Author (s): Yang, Qinmin
Sarangapani, Jagannathan
Bohannan, Eric W.
Department/Lab Affiliations: Computer Science
Electrical and Computer Engineering
Intelligent Systems Center
Keywords: nanomanipulation
neural network (NN)
phase correlation method
scanning probe microscope
thermal drift
Issue Date: 2008-03
Publisher: Institute of Electrical and Electronics Engineers IEEE
Citation: Q. Yang, S. Jagannathan and E. Bohanan," Automatic drift compensation using phase correlation method for nanomanipulation", IEEE Transactions on Nanotechnology, Vol. 7, no. 2, March 2008, pp. 209-216.
Abstract: Nanomanipulation and nanofabrication with an atomic force microscope (AFM) or other scanning probe microscope (SPM) are a precursor for nanomanufacturing. It is still a challenging task to accomplish nanomanipulation automatically. In ambient conditions without stringent environmental controls, the task of nanomanipulation requires extensive human intervention to compensate for the spatial uncertainties of the SPM. Among these uncertainties, the thermal drift, which affects spatial resolution, is especially hard to solve because it tends to increase with time, and cannot be compensated simultaneously by feedback from the instrument. In this paper, a novel automatic compensation scheme is introduced to measure and estimate the drift one-step ahead. The scheme can be subsequently utilized to compensate for the thermal drift so that a real-time controller for nanomanipulation can be designed, as if the drift did not exist. Experimental results show that the proposed compensation scheme can predict drift with a small error, and therefore, can be embedded in the controller for manipulation tasks.
Type: Article - Journal
text
In Title: IEEE Transactions on Nanotechnology
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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Publisher URL:
http://dx.doi.org/10.1109/TNANO.2007.915021
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titleAutomatic drift compensation using phase correlation method for nanomanipulation
contributor.authorYang, Qinmin
contributor.authorSarangapani, Jagannathan
contributor.authorBohannan, Eric W.
contributor.deptlabComputer Science
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabIntelligent Systems Center
subjectnanomanipulation
subjectneural network (NN)
subjectphase correlation method
subjectscanning probe microscope
subjectthermal drift
date.issued2008-03
publisherInstitute of Electrical and Electronics Engineers IEEE
identifier.citationQ. Yang, S. Jagannathan and E. Bohanan," Automatic drift compensation using phase correlation method for nanomanipulation", IEEE Transactions on Nanotechnology, Vol. 7, no. 2, March 2008, pp. 209-216.
identifier.pub.URI
http://dx.doi.org/10.1109/TNANO.2007.915021
description.abstractNanomanipulation and nanofabrication with an atomic force microscope (AFM) or other scanning probe microscope (SPM) are a precursor for nanomanufacturing. It is still a challenging task to accomplish nanomanipulation automatically. In ambient conditions without stringent environmental controls, the task of nanomanipulation requires extensive human intervention to compensate for the spatial uncertainties of the SPM. Among these uncertainties, the thermal drift, which affects spatial resolution, is especially hard to solve because it tends to increase with time, and cannot be compensated simultaneously by feedback from the instrument. In this paper, a novel automatic compensation scheme is introduced to measure and estimate the drift one-step ahead. The scheme can be subsequently utilized to compensate for the thermal drift so that a real-time controller for nanomanipulation can be designed, as if the drift did not exist. Experimental results show that the proposed compensation scheme can predict drift with a small error, and therefore, can be embedded in the controller for manipulation tasks.
typeArticle - Journal
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rightsallows publisher's final version to be uploaded
rights.URI
http://www.ieee.org/portal/cms_docs_iportals/iportals/publications/rights/downloads/IEEECForm121302pdf.pdf
rights.URI
http://www.ieee.org/web/publications/rights/index.html
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
relation.isPartOfIEEE Transactions on Nanotechnology
date.accessioned2008-07-09T19:55:38Z
date.available2008-07-14T20:45:08Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/AutomaticDriftCompensationUsingPhaseCorrelatio_09007dcc805312a7.html
Full Text
AutomaticDriftCompensation_09007dcc805313fa.pdf