Real-Time Sliding Mode Observer Scheme for Shear Force Estimation in a Transverse Dynamic Force Microscope
Autor: | Mervyn J Miles, Thang Nguyen Tien, Massimo Antognozzi, Kaiqiang Zhang, Christopher Edwards, Toshiaki Hatano, Guido Herrmann, Stuart C Burgess, Robert L. Harniman, Said Ghani Khan |
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Rok vydání: | 2016 |
Předmět: |
Physics
0209 industrial biotechnology Microscope Cantilever Observer (quantum physics) Oscillation Shear force 02 engineering and technology Mechanics law.invention Transverse plane 020901 industrial engineering & automation Mathematics (miscellaneous) Amplitude Control and Systems Engineering Control theory law 0202 electrical engineering electronic engineering information engineering Force dynamics 020201 artificial intelligence & image processing Electrical and Electronic Engineering |
Zdroj: | Asian Journal of Control. 20:1317-1328 |
ISSN: | 1561-8625 |
Popis: | This paper describes a sliding mode observer scheme for estimation of the shear force affecting the cantilever in a Transverse Dynamic Force Microscope (TDFM). The vertically oriented cantilever is oscillated in the proximity to the specimen under investigation. The amplitude of oscillation of the cantilever tip is affected by these shear forces. They are created by the ordered-water layer above the specimen. The oscillation amplitude is therefore a measure of distance between the tip and the surface of the specimen. Consequently, the estimation of the shear forces provides useful information about the specimen characteristics. For estimating the shear forces, an approximate finite dimensional model of the cantilever is created using the method of lines. This model is subsequently reduced in terms of its order. An unknown input sliding mode observer has been used to reconstruct the unknown shear forces using only tip position measurements and the cantilever excitation. This paper describes the development of the sliding mode scheme and presents experimental results from the TDFM set up at the Centre for Nanoscience and Quantum Information (NSQI) at Bristol University. |
Databáze: | OpenAIRE |
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