Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope. / Fuhrhop, Carlos; Mercorelli, Paolo; Quevedo, Daniel.
2016 IEEE International Conference on Automatica, ICA-ACCA 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. p. 247 - 252 7778435 (2016 IEEE International Conference on Automatica, ICA-ACCA 2016).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Fuhrhop, C, Mercorelli, P & Quevedo, D 2016, Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope. in 2016 IEEE International Conference on Automatica, ICA-ACCA 2016., 7778435, 2016 IEEE International Conference on Automatica, ICA-ACCA 2016, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 247 - 252, IEEE International Conference on Automatica - ICA/ACCA 2016, Curicó, Chile, 19.10.16. https://doi.org/10.1109/ICA-ACCA.2016.7778435

APA

Fuhrhop, C., Mercorelli, P., & Quevedo, D. (2016). Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope. In 2016 IEEE International Conference on Automatica, ICA-ACCA 2016 (pp. 247 - 252). Article 7778435 (2016 IEEE International Conference on Automatica, ICA-ACCA 2016). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICA-ACCA.2016.7778435

Vancouver

Fuhrhop C, Mercorelli P, Quevedo D. Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope. In 2016 IEEE International Conference on Automatica, ICA-ACCA 2016. IEEE - Institute of Electrical and Electronics Engineers Inc. 2016. p. 247 - 252. 7778435. (2016 IEEE International Conference on Automatica, ICA-ACCA 2016). doi: 10.1109/ICA-ACCA.2016.7778435

Bibtex

@inbook{12a921ba25aa4bc1b2ca406eb67a462b,
title = "Adaptive control of the nonlinear dynamic behavior of the cantilever-sample system of an atomic force microscope",
abstract = "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.",
keywords = "Engineering, control, Adaptive Control, AFM Cantilever Model, Lyapunov Stability, Nonlinear Model Reference Adaptive Control, AFM Cantilever Model, Lyapunov Stability, Nonlinear Model Reference Adaptive Control",
author = "Carlos Fuhrhop and Paolo Mercorelli and Daniel Quevedo",
note = "Article number 7778435; IEEE International Conference on Automatica - ICA/ACCA 2016, ICA/ACCA 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
year = "2016",
month = dec,
day = "8",
doi = "10.1109/ICA-ACCA.2016.7778435",
language = "English",
series = "2016 IEEE International Conference on Automatica, ICA-ACCA 2016",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "247 -- 252",
booktitle = "2016 IEEE International Conference on Automatica, ICA-ACCA 2016",
address = "United States",
url = "https://acca.aconf.org/",

}

RIS

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 -

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