Feedback-based iterative learning controller design using the robust performance condition of uncertain feedback control systems

Tae Yong Doh, Jung Rae Ryoo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Generally, an iterative learning controller is added on the existing feedback control system to improve the tracking performance. However, the iterative learning controller has been designed without utilizing effective information used in the design of the feedback controller. This paper proposes a robust convergence condition in the L2-norm sense for an iterative learning control (ILC) system including a feedback controller and an uncertain linear time-invariant plant. We present a method to design an iterative learning controller using the information on the performance of the existing feedback control system. From the obtained results, several design criteria for the ILC system are provided.

Original languageEnglish
Title of host publication2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011
Pages1084-1087
Number of pages4
DOIs
StatePublished - 2011
Event2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011 - Niagara Falls, ON, Canada
Duration: 8 May 201111 May 2011

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Conference

Conference2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011
Country/TerritoryCanada
CityNiagara Falls, ON
Period8/05/1111/05/11

Keywords

  • convergence
  • Iterative learning control (ILC)
  • L norm
  • performance weighting function
  • robust performance
  • uncertainty

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