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A Simulation Study on the Arm Estimation of a Joint Flexible 2 DOF Robot Arm
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2009 (English)Report (Other academic)
Abstract [en]

The main task for an industrial robot is to move the tool into specific positions. It is therefore necessary to have an accurate knowledge about the tool position. This report desrcibes a simulation study where an accelerometer attached to the robot tool is used. The acceleration and measured motor angles are used with an Extended Kalman Filter (EKF) to estimate the tool position. The work has been focused on a robot with two degrees of freedom. Simulations have been performed with different kind of errors and on different paths. The EKF uses covariance matrices of the process noise and measurement noise which are unknown. An optimization problem has therefore been proposed and solved to get covariance matrices that give good estimations.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. , 19 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2926
Keyword [en]
Extended Kalman Filter, Industrial manipulator, Accelerometer
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56214ISRN: LiTH-ISY-R-2926OAI: oai:DiVA.org:liu-56214DiVA: diva2:317015
Projects
Vinnova Excellence Center LINK-SIC
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-06-19Bibliographically approved

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A Simulation Study on the Arm Estimation of a Joint Flexible 2 DOF Robot Arm(730 kB)161 downloads
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Axelsson, Patrik

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf