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

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

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.

Translated title of the contributionDie Kombination von Modellprädiktive und Adaptive Controller für einen Atomkraftmikroskop Piezo-Scanner System.
Original languageEnglish
Title of host publication2013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) : 2013 IEEE International Symposium
Number of pages6
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication date10.2013
Article number6684499
ISBN (Print)9781479906819
ISBN (Electronic)978-1-4799-0681-9, 978-1-4799-0680-2
DOIs
Publication statusPublished - 10.2013
EventInternational Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) - IEEE 2013 - München, Germany
Duration: 17.10.201319.10.2013
Conference number: 2

    Research areas

  • Engineering - Adaptive Control, AFM Cantilever Model, Model Predictive Control