• DocumentCode
    1027590
  • Title

    Automatic Drift Compensation Using Phase Correlation Method for Nanomanipulation

  • Author

    Yang, Qinmin ; Jagannathan, S. ; Bohannan, E.W.

  • Author_Institution
    Univ. of Missouri-Rolla, Rolla
  • Volume
    7
  • Issue
    2
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    209
  • Lastpage
    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.
  • Keywords
    atomic force microscopy; nanotechnology; AFM; SPM; atomic force microscopy; automatic drift compensation; nanofabrication; nanomanipulation; phase correlation method; real-time controller; scanning probe microscopy; thermal drift; Nanomanipulation; Scanning Probe Microscope; nanomanipulation; neural network; neural network (NN); phase correlation method; phase-correlation method; scanning probe microscope; thermal drift;
  • fLanguage
    English
  • Journal_Title
    Nanotechnology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-125X
  • Type

    jour

  • DOI
    10.1109/TNANO.2007.915021
  • Filename
    4420215