DocumentCode
2470774
Title
A control approach to high-speed probe-based nanofabrication
Author
Yan, Yan ; Zou, Qingze ; Lin, Zhiqun
Author_Institution
Dept. of Mech. Eng., Iowa state Univ., Ames, IA, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
295
Lastpage
300
Abstract
In this paper, an inversion-based feedforward control approach to achieve high-speed, large-range probe-based nanofabrication is proposed. Probe-based nanofabrication has attracted great interests recently. However, this technique is still limited by the low-throughput due to the challenges in compensating for the adverse effects such as the nonlinear hysteresis and the vibrational dynamics of piezo actuators in each axis, as well as the dynamics coupling in multi-axis motion during high-speed nanofabrication. The main contribution of this article is the utilization of the recently-developed model-less inversion-based iterative control (MIIC) technique to overcome these challenges in SPM probe-based nanofabrication. By using this advanced control technique, precision position control of the probe can be achieved during high-speed, large-range multiaxes nanofabrication. The proposed approach is demonstrated in experiments by implementing it to fabricate large-size (~50 mum) pentagram patterns via mechanical-scratching on a gold-coated silicon sample surface at high speed (~4.5 mm/sec).
Keywords
feedforward; hysteresis; iterative methods; nanofabrication; piezoelectric actuators; position control; vibration control; gold-coated silicon; high-speed probe-based nanofabrication; inversion-based feedforward control; mechanical-scratching; model-less inversion-based iterative control technique; nonlinear hysteresis; piezo actuators; precision position control; vibrational dynamics; Actuators; Fabrication; Hardware; Hysteresis; Iterative methods; Motion control; Nanofabrication; Scanning probe microscopy; Silicon; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160378
Filename
5160378
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