DocumentCode
3415674
Title
Experimental comparison of online parameter identification schemes for a nanopositioning stage with variable mass
Author
Eielsen, Arnfinn A. ; Poloni, Tomas ; Johansen, Tor Arne ; Gravdahl, Jan Tommy
Author_Institution
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2011
fDate
3-7 July 2011
Firstpage
510
Lastpage
517
Abstract
An experimental comparison of two common parameter identification schemes is presented. The recursive least-squares method and the extended Kalman filter are applied to identify three parameters of a second-order linear mass-spring-damper model, using data obtained from a nanopositioning stage with a highly resonant dynamic response.
Keywords
Kalman filters; dynamic response; least squares approximations; nanopositioning; parameter estimation; recursive estimation; shock absorbers; springs (mechanical); extended Kalman filter; nanopositioning stage; online parameter identification schemes; parameter identification schemes; recursive least-squares method; resonant dynamic response; second-order linear mass-spring-damper model; variable mass; Cutoff frequency; Damping; Kalman filters; Mathematical model; Nanopositioning; Payloads; Piezoelectric actuators;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics (AIM), 2011 IEEE/ASME International Conference on
Conference_Location
Budapest
ISSN
2159-6247
Print_ISBN
978-1-4577-0838-1
Type
conf
DOI
10.1109/AIM.2011.6027083
Filename
6027083
Link To Document