Combining Model Predictive and Adaptive Control for an Atomic Force Microscope Piezo-Scanner-Cantilever System
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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 Übersetzung | Die Kombination von Modellprädiktive und Adaptive Controller für einen Atomkraftmikroskop Piezo-Scanner System. | 
|---|---|
| Originalsprache | Englisch | 
| Titel | 2013 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 Seiten | 6 | 
| Verlag | IEEE - Institute of Electrical and Electronics Engineers Inc. | 
| Erscheinungsdatum | 10.2013 | 
| Aufsatznummer | 6684499 | 
| ISBN (Print) | 9781479906819 | 
| ISBN (elektronisch) | 978-1-4799-0681-9, 978-1-4799-0680-2 | 
| DOIs | |
| Publikationsstatus | Erschienen - 10.2013 | 
| Veranstaltung | International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) - IEEE 2013 - München, Deutschland Dauer: 17.10.2013 → 19.10.2013 Konferenznummer: 2  | 
- Ingenieurwissenschaften
 
