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  • 标题:Simultaneous Estimation of Vehicle Lateral Dynamics and Driver Torque using LPV Unknown Input Observer
  • 本地全文:下载
  • 作者:Anh-Tu Nguyen ; Thierry-Marie Guerra ; Chouki Sentouh
  • 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:13-18
  • DOI:10.1016/j.ifacol.2018.11.175
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a new method to estimate simultaneously both the vehicle state and the driver torque. To take into account the time-varying nature of the longitudinal speed, the vehicle system is transformed into a polytopic LPV model with a reasonable level of numerical complexity. The design of the LPV unknown input observer is reformulated as an LMI-based optimization which can be effectively solved via semi-definite programming. Based on Lyapunov arguments, the closed-loop of the state error dynamics is proved to be input-to-state stable while achieving a guaranteed L∞-gain performance. Numerical experiments obtained with a nonlinear vehicle system are provided to demonstrate the effectiveness of the proposed observer design.
  • 关键词:KeywordsVehicle dynamicsdriver torque estimationLPV systemsunknown input observerL∞-gain performancelinear matrix inequality (LMI)
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