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Iteration Varying Filters in Iterative Learning Control
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2002 (English)Report (Other academic)
Abstract [en]

In this contribution it is shown how an iterative learning control algorithm can be found for a disturbance rejection application where a repetitive disturbance is acting on the output of a system. It is also assumed that there is additive noise on the measurements from the system. When applying iterative learning control to a system where measurement disturbances are present it is shown that it is optimal to use iteration varying filters in the learning law. To achieve a good transient behavior it is also necessary to have an accurate model of the system. The results are also verified in simulations.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2002. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2435
Keyword [en]
Iterative learning control, Measurement noise, Disturbance rejection, ILC
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55866ISRN: LiTH-ISY-R-2435OAI: oai:DiVA.org:liu-55866DiVA: diva2:316671
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-02Bibliographically approved

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Norrlöf, Mikael

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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