DocumentCode
3173596
Title
Iteration-based Scan-Trajectory Design and Control with Output-Oscillation Minimization: Atomic Force Microscope Example
Author
Kim, Kyong-Soo ; Zou, Qingze ; Su, Chanmin
Author_Institution
Iowa State Univ., Ames
fYear
2007
fDate
9-13 July 2007
Firstpage
4227
Lastpage
4233
Abstract
In this article, two practical issues occurring in the design and control of scan trajectories are studied: one, the reduction of the output oscillations during the scanning, and two, the effect of the modeling errors on the output precision during the scanning. Output oscillations need to be minimized in scanning operations of systems such as the piezo actuator and the flexible structure, while modeling errors widely exists in practical applications. The proposed approach extends the developed optimal scan trajectory design and control method, by introducing the design of a prefilter into the framework to reduce the output oscillations. Furthermore, a novel inversion-based iterative control algorithm is proposed and integrated with the optimal scan method to compensate for the modeling error effect on the scanning. The convergence of the iterative control law is discussed, and the convergence range is quantified. The proposed approach is illustrated by implementing it on the high-speed adhesion force measurement using AFM. Simulation and experimental results are presented and discussed to demonstrate the efficacy of the proposed approach.
Keywords
actuators; adhesion; atomic force microscopy; control system synthesis; convergence; filtering theory; iterative methods; position control; adhesion force measurement; atomic force microscope; flexible structure; inversion-based iterative control algorithm; iteration-based scan-trajectory design; iterative control law convergence; optimal scan trajectory design; output-oscillation minimization; piezo actuator; prefilter design; scan-trajectory control; Actuators; Atomic force microscopy; Convergence; Design methodology; Error correction; Flexible structures; Force control; Iterative algorithms; Iterative methods; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282976
Filename
4282976
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