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  • 标题:Towards a process fault-tolerant iterative learning control for dynamic systems*
  • 本地全文:下载
  • 作者:Marcin Pazera ; Bartłomiej Sulikowski ; Marcin Witczak
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:115-120
  • DOI:10.1016/j.ifacol.2022.07.115
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents further work on combining Iterative Learning Control (ILC) with Fault-Tolerant Control. Main goals here are to drive the considered plant to the prescribed reference with simultaneous elimination of the effect of possible process faults. The first result presented is about designing the fault estimator and linking it with the original plant. Next, for a such an extended system the ILC scheme is provided. Since the system is occupied by the process and measurement uncertainties, the fault observer along with the ILC controller are designed under theH∞regime. The proposed control strategy is verified with application to the DC servo motor.
  • 关键词:KeywordsFault-tolerantActive Fault DiagnosisEstimationfault detectionIterative learning control
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