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  • 标题:A Globally Exponentially Convergent I&I Observer for Vehicles with Roll Dynamics * * This work was supported by CONACYT, Mexico, under grant 252405.
  • 本地全文:下载
  • 作者:Jose Guadalupe Romero ; Juan J. Ley-Rosas ; Rafael Cisneros
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:3394-3399
  • DOI:10.1016/j.ifacol.2017.08.591
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper an observer for a vehicle system considering roll dynamics is presented. The observer design is based on the well-known Immerse and Invariance (I&I) technique to estimate the lateral velocity, roll angle and roll velocity of the vehicle from the measurements of the longitudinal/lateral accelerations, longitudinal velocity, yaw rate and steer angle. Furthermore, under practical considerations, global exponential convergence can be assured. To assess the performance of the observer, an observer-based control using the super-twisting algorithm has been derived and validated through numerical simulations.
  • 关键词:KeywordsI&I ObserverGround vehiclesSuper-Twisting Algorithm
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