A current cycle feedback iterative learning control approach to AFM imaging

Ying Wu, Qingze Zou, Chanmin Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

In this article, we proposed a novel current cycle feedback (CCF) iterative learning control (ILC) approach to achieve high-speed imaging on atomic force microscope (AFM). AFM-imaging requires precision positioning of the AFM probe relative to the sample in 3-D (x-y-z) dimension. It has been demonstrated that with advanced control techniques such as the inversion-based iterative-control (IIC) technique, precision positioning of the AFM probe in the lateral (x-y) direction can be successfully achieved. Additional challenges, however, must be overcome to achieve precision positioning of the AFM-probe in the vertical direction. The main contribution of this article is the developement of the CCF-ILC approach to the AFM z-axis control. Particularly, the proposed CCF-ILC controller design utilizes the recently-developed robust-inversion technique to minimize the model uncertainty effect on the feedforward control, and remove the causality constraints existing in other CCF-ILC approaches. Experimental results for AFM imaging are presented and discussed to illustrate the proposed method.

Original languageEnglish (US)
Title of host publication2008 American Control Conference, ACC
Pages2040-2045
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA
Period6/11/086/13/08

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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