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Robust Iterative Learning Control of Dual-Driven Crossbeam System

  • School of Astronautics, Harbin Institute of Technology
  • Aeronautics Computing Technique Research Institute Aviation Industry Corporation of China

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

Abstract

Dual-drive crossbeam system has been an significant part of high-end equipment, whose synchronous accuracy and robustness determine the performance if equipment. Thus, a robust iterative learning control method is proposed, which is based on the cross-coupling model. Robust term is to deal with the non-repetitive disturbance and iterative learning term is to compensate the unknown dynamics by repeating the same task. Finally, different control methods are conducted to verify the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • Iterative learning control
  • cross-coupling
  • dual-driven cross-beam system
  • motion control
  • robust control

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