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  • 标题:Improving train position accuracy in case of wheel jamming faults
  • 本地全文:下载
  • 作者:Braulio Aguiar ; Denis Berdjag ; Thierry-Marie Guerra
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:26
  • 页码:25-30
  • DOI:10.1016/j.ifacol.2018.11.173
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is about position estimation and fault detection under jamming fault for rail transportation system. The motivation is to improve the accuracy of the position estimator in real-world conditions, considering modeling errors, perturbations and expected faults. The approach is based on an unknown input observer used to estimate perturbations and detect jamming faults for a class of polytypic linear parameter-varying (LPV) system. Moreover, the mixedH∞/H_approach is applied to help in the robustness of the fault detection via a residual. Offline experiments results are provided for illustration.
  • 关键词:Keywordsunknown input observerlinear parameter-varying systembraking systemfault detection
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