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An Adaptive Approach to Iterative Learning Control with Experiments on an Industrial Robot
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2001 (English)Report (Other academic)
Abstract [en]

An adaptive approach to Iterative Learning Control (ILC) based on Kalman filters and optimization of a quadratic criterion is presented. The idea is to estimate one of the design parameters in the Kalman filter and hence create an adaptive gain in the ILC updating formula. The proposed ILC design is compared with two other ILC schemes and they are all implemented on an industrial robot. The results show that the proposed adaptive ILC scheme is fast, and also robust since the gain is reduced as the error is decreased.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2001. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2372
Keyword [en]
Robot application, Robot motion control, Sampled data system, Iterative learning control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55799ISRN: LiTH-ISY-R-2372OAI: oai:DiVA.org:liu-55799DiVA: diva2:316531
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-03Bibliographically approved

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Norrlöf, Mikael

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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  • 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