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
Link To Document :
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