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  • 标题:Design of sliding mode observer for the estimation of train car positions and in-train forces
  • 本地全文:下载
  • 作者:Hiba Fawzia Bouchama ; Michael Defoort ; Denis Berdjag
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:4
  • 页码:98-105
  • DOI:10.1016/j.ifacol.2021.10.017
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractFor the control design of freight trains, the estimation of in-train forces is crucial to avoid safety issues caused by the possible failure of car couplers under excessive stress. However, the in-train forces and the relative positions of adjacent train cars are not directly measurable. To address this issue, this paper designs estimators of train car positions and in-train forces using only locomotive-based measurements. Using the multi-point train model, a cascade structure of robust sliding mode differentiators is developed. It provides finite-time estimation of train car positions and in-train forces. Simulation results illustrate the feasibility of the proposed approach.
  • 关键词:KeywordsAutonomous trainIn-train forcesSliding mode observerRobust differentiator
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