DocumentCode :
3521950
Title :
Spiral scanning of atomic force microscope for faster imaging
Author :
Rana, M.S. ; Pota, Hemanshu R. ; Petersen, Ian R. ; Habibullah
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
354
Lastpage :
359
Abstract :
An atomic force microscope (AFM) is an extremely versatile investigative tool in the field of nanotechnology, the performance of which is significantly influenced by its conventional zig-zag raster pattern scanning method. In this paper, we consider the use of a spiral scanning method with an improved model predictive control (MPC) scheme for its faster scanning. The proposed MPC controller reduces the phase error between the input and output sinusoids and provides better tracking of the reference signal. Also, a notch filter is designed and included in the feedback loop with the plant to suppress vibrations of the piezoelectric tube scanner (PTS) at the resonant frequency. Consequently, the proposed controller achieves a higher closed-loop bandwidth and significant damping of the resonant mode of the AFM´s PTS. Experimental results show that, by using the proposed method, the AFM´s scanning speed is significantly increased to up to 180 Hz and produces improved image quality.
Keywords :
atomic force microscopy; closed loop systems; crystal resonators; damping; feedback; image scanners; notch filters; pipes; predictive control; vibrations; AFM; MPC scheme; PTS; atomic force microscope; closed-loop bandwidth; feedback loop; image quality; improved model predictive control scheme; input sinusoid; nanotechnology; notch filter; output sinusoid; phase error reduction; piezoelectric tube scanner; reference signal tracking; resonant mode damping; spiral scanning method; vibration; zig-zag raster pattern scanning method; Frequency control; Frequency measurement; Microscopy; Noise; Phase measurement; Spirals; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6759907
Filename :
6759907
Link To Document :
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