DocumentCode
2717793
Title
Robust tracking control of an array of nanoparticles moving on a substrate
Author
Hu, Guoqiang ; Sahneh, Faryad Darabi ; Dixon, Warren
Author_Institution
Dept. of Mech. & Nucl. Eng., Kansas State Univ., Manhattan, KS, USA
fYear
2010
fDate
8-10 Sept. 2010
Firstpage
2290
Lastpage
2295
Abstract
Control of nanosystems with frictional dynamics using feedback control methods is important to a wide range of applications of nanotribology. This paper studies the tracking control problem of an array of nanoparticles moving on a substrate with friction between the substrate and the particles. The major challenges in this problem include 1) nonlinearities and uncertainties in the frictional dynamics and 2) limited availability of measurable states in nanosystems. In this paper, the particle-substrate and interparticle interactions are considered to be unknown and of general dynamic forms. The unknown effect of unmodeled particle dynamics on the dynamics of the center of mass of the array is also considered. A nonlinear identifier is developed to identify this unmodeled dynamics. A feedback controller is developed upon the identifier to control the center of mass of the particles to track a desired trajectory. Boundedness of the closed-loop states and semiglobal asymptotic stability of the tracking error are proved using Lyapunov theory. Numerical simulation results are provided to demonstrate the performance of the developed identification and control laws.
Keywords
Lyapunov methods; asymptotic stability; closed loop systems; control nonlinearities; feedback; friction; mechanical variables control; motion control; nanomechanics; nanoparticles; nanotechnology; numerical analysis; position control; robust control; uncertain systems; Lyapunov theory; asymptotic stability; closed loop states; feedback control methods; frictional dynamics; nanoparticles array; nanosystems control; nanotribology; nonlinear identifier; nonlinearities; numerical simulation; robust tracking control; substrate; uncertainties; unmodeled particle dynamics; Aerodynamics; Arrays; Equations; Force; Mathematical model; Nanoparticles; Substrates;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 2010 IEEE International Symposium on
Conference_Location
Yokohama
ISSN
2158-9860
Print_ISBN
978-1-4244-5360-3
Electronic_ISBN
2158-9860
Type
conf
DOI
10.1109/ISIC.2010.5612897
Filename
5612897
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