Combining Model Predictive and Adaptive Control for an Atomic Force Microscope Piezo-Scanner-Cantilever System

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

The paper presents a new control algorithm which consists of a combination of an adaptive control structure and a model predictive one. An atomic force microscope in the contact mode (AFM) is considered to validate the proposed algorithm. The AFM is a powerful tool to measure the topography of the 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 samples topography is obtained while the closed-loop control holding the tip sample force constant. The dynamics of the tip-sample system is very complex with different kinds of forces that act between the tip and the sample. Here the dominated force depends on the distance tip-sample and in the present work we use a modified Hertz model to describe the non-linear force when the distance tip-sample is less than 20 nm. The proposed control technique consists of a two stage structure algorithm. In the control strategy, the adaptive part is devoted to the control of the non-linear dynamics, the model predictive part improves the transient of the overall control system in order to have a fast control of the complex tip-sample system. The procedure is totally general and can be applied to any drive system.

Titel in ÜbersetzungDie Kombination von Modellprädiktive und Adaptive Controller für einen Atomkraftmikroskop Piezo-Scanner System.
OriginalspracheEnglisch
Titel2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) : 2013 IEEE International Symposium
Anzahl der Seiten6
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum10.2013
Aufsatznummer6684499
ISBN (Print)9781479906819
ISBN (elektronisch)978-1-4799-0681-9, 978-1-4799-0680-2
DOIs
PublikationsstatusErschienen - 10.2013
VeranstaltungInternational Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) - IEEE 2013 - München, Deutschland
Dauer: 17.10.201319.10.2013
Konferenznummer: 2

DOI

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Forschende

  1. Andreas Zedler

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