TY - GEN
T1 - A finite-impulse-response-based approach to control acoustic-caused probe-vibration in atomic force microscope imaging
AU - Yi, Sicheng
AU - Zou, Qingze
N1 - Funding Information:
∗The authors would like to gratefully thank the support of NSF grants CMMI-1200557 and IDBR-1353890, and S. Yi would also like to thank the financial support from the China Scholarship Council. †S.Yi was a visiting student in Zou’s group during this work. ‡Corresponding author
Publisher Copyright:
© Copyright 2017 ASME.
PY - 2017
Y1 - 2017
N2 - In this paper, we propose a finite-impulse-response (FIR)- based feedforward control approach to mitigate the acousticcaused probe vibration during atomic force microscope (AFM) imaging. Compensation for the extraneous probe vibration is needed to avoid the adverse effects of environmental disturbances such as acoustic noise on AFM imaging, nanomechanical characterization, and nanomanipulation. Particularly, residual noise still exists even though conventional passive noise cancellation apparatus has been employed. The proposed technique exploits a data-driven approach to capture both the noise propagation dynamics and the noise cancellation dynamics in the controller design, and is illustrated through the experimental implementation in AFM imaging application.
AB - In this paper, we propose a finite-impulse-response (FIR)- based feedforward control approach to mitigate the acousticcaused probe vibration during atomic force microscope (AFM) imaging. Compensation for the extraneous probe vibration is needed to avoid the adverse effects of environmental disturbances such as acoustic noise on AFM imaging, nanomechanical characterization, and nanomanipulation. Particularly, residual noise still exists even though conventional passive noise cancellation apparatus has been employed. The proposed technique exploits a data-driven approach to capture both the noise propagation dynamics and the noise cancellation dynamics in the controller design, and is illustrated through the experimental implementation in AFM imaging application.
UR - https://www.scopus.com/pages/publications/85036653792
UR - https://www.scopus.com/inward/citedby.url?scp=85036653792&partnerID=8YFLogxK
U2 - 10.1115/DSCC2017-5103
DO - 10.1115/DSCC2017-5103
M3 - Conference contribution
AN - SCOPUS:85036653792
T3 - ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
BT - Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications
PB - American Society of Mechanical Engineers
T2 - ASME 2017 Dynamic Systems and Control Conference, DSCC 2017
Y2 - 11 October 2017 through 13 October 2017
ER -