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  • 标题:A Hybrid Adaptation Strategy for Repetitive Control of an Uncertain-Delay Lagrangian System
  • 本地全文:下载
  • 作者:Andrea Tilli ; Elena Ruggiano ; Christian Conficoni
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8965-8972
  • DOI:10.1016/j.ifacol.2020.12.1483
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this work, we present a novel repetitive control (RC) strategy to achieve accurate position tracking of a 1-DOF Lagrangian system. Such controller is able to cope with model uncertainties and unknown transmission delays in the control architecture. The classic repetitive structure is augmented with an observer of the residual disturbance, to be compensated by means of the RC action. The repetitive unit is updated at hybrid instants, so that the disturbance observer is close to its steady-state before a new repetitive correction is applied. In addition, communication delay is also estimated by the proposed control structure. This way, practical asymptotic stability of the overall system can be achieved with a simple proportional correction of the RC, also under perturbations of the steady-state estimate due to model uncertainties. In light of the aforementioned properties, the proposed RC-based controller is shown to be an easy-to-tune, robust solution capable of improving the tracking performance for the given case of study.
  • 关键词:KeywordsIterativeRepetitive learning controlSystems with time-delaysMotion Control SystemsDesign methodologiesMechatronic systemsStability of hybrid systems
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