• DocumentCode
    2943995
  • Title

    Iterative Algorithm for Road Simulator Using Smooth Filter

  • Author

    Wang Bin ; Guo Xue-xun ; Yang Bo ; Tan Gang-feng ; Xu Zhan

  • Author_Institution
    Sch. of Automobile Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    238
  • Lastpage
    241
  • Abstract
    Remote parameter control (RPC) is presently the major technique for road simulator. However, the iterative parameters settlement in traditional RPC method much relies on test-personnel´s experience. To aim at it, this article presents an improved road simulation iterative method, with which stochastic pavement unevenness has been reproduced on a road simulation test rig. After figuring out input errors by tradition RPC, a smooth filter was devised and then next step input signal was computed by taking filtered error signal directly as the correction of input signal in the iterative formula. For the sake of iterative process stabilization, filter parameter was determined according to the value of iterative relative error. Test results indicate that the iterative process is steady and waveform reproducing precision is high by applying filtered error signal.
  • Keywords
    iterative methods; road vehicles; smoothing methods; stochastic systems; error signal filtering; iterative parameters settlement; iterative process stabilization; remote parameter control; road simulator; smooth filter; stochastic pavement unevenness; Computational modeling; Filters; Frequency; Iterative algorithms; Iterative methods; Petroleum; Road vehicles; Stochastic processes; Stochastic systems; System testing; iteration; road simulation; smooth filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.174
  • Filename
    5203191