Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope
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2016 IEEE International Conference on Automatica, ICA-ACCA 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. S. 247 - 252 7778435 (2016 IEEE International Conference on Automatica, ICA-ACCA 2016).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope
AU - Fuhrhop, Carlos
AU - Mercorelli, Paolo
AU - Quevedo, Daniel
N1 - Conference code: 22
PY - 2016/12/8
Y1 - 2016/12/8
N2 - The paper presents a model reference adaptive control (MRAC) of first and second order to control the nonlinear dynamics of an atomic force microscope (AFM) cantilever, which is operated in contact mode. The AFM is a powerful tool to measure the topography of a sample at the scale of a few nanometers, where a small sharp tip supported in a micro cantilever scans the surface. In the contact mode the sample's topography is obtained by using the closed-loop control that holds the tip sample force constant. The nonlinear dynamics of the tip-sample system is very complex with different kinds of nonlinear forces that act between the tip and the sample. Here the dominated force depends on the distance tip-sample. In the present work we use a modified Hertz model to describe the nonlinear force when the distance tip-sample is less than 1 nm. First the complex nonlinear tip-sample system is controlled with a nonlinear MRAC of 1st order and after with a nonlinear MRAC of 2nd order. The results of both control strategies were compared in order to see which one gives a better control perfomance. Here a stability proof for both MRAC methods is present. A variety of simulation results are presented to demonstrate the efficacy of the proposed methods. The procedure is general and can be applied to any nonlinear system.
AB - The paper presents a model reference adaptive control (MRAC) of first and second order to control the nonlinear dynamics of an atomic force microscope (AFM) cantilever, which is operated in contact mode. The AFM is a powerful tool to measure the topography of a sample at the scale of a few nanometers, where a small sharp tip supported in a micro cantilever scans the surface. In the contact mode the sample's topography is obtained by using the closed-loop control that holds the tip sample force constant. The nonlinear dynamics of the tip-sample system is very complex with different kinds of nonlinear forces that act between the tip and the sample. Here the dominated force depends on the distance tip-sample. In the present work we use a modified Hertz model to describe the nonlinear force when the distance tip-sample is less than 1 nm. First the complex nonlinear tip-sample system is controlled with a nonlinear MRAC of 1st order and after with a nonlinear MRAC of 2nd order. The results of both control strategies were compared in order to see which one gives a better control perfomance. Here a stability proof for both MRAC methods is present. A variety of simulation results are presented to demonstrate the efficacy of the proposed methods. The procedure is general and can be applied to any nonlinear system.
KW - Engineering
KW - control
KW - Adaptive Control
KW - AFM Cantilever Model
KW - Lyapunov Stability
KW - Nonlinear Model Reference Adaptive Control
KW - AFM Cantilever Model
KW - Lyapunov Stability
KW - Nonlinear Model Reference Adaptive Control
UR - http://www.scopus.com/inward/record.url?scp=85010300629&partnerID=8YFLogxK
U2 - 10.1109/ICA-ACCA.2016.7778435
DO - 10.1109/ICA-ACCA.2016.7778435
M3 - Article in conference proceedings
T3 - 2016 IEEE International Conference on Automatica, ICA-ACCA 2016
SP - 247
EP - 252
BT - 2016 IEEE International Conference on Automatica, ICA-ACCA 2016
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Automatica - ICA/ACCA 2016
Y2 - 19 October 2016 through 21 October 2016
ER -