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  • 标题:Fork elongation estimation in a motorcycle suspension via Kalman-filter techniques for semi-active end-stop avoidance control
  • 本地全文:下载
  • 作者:T. Colombo ; D. Delvecchio ; S. Savaresi
  • 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:3738-3743
  • DOI:10.1016/j.ifacol.2017.08.572
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is about the estimation of front suspension stroke in a motorcycle, oriented to the semi-active end-stop avoidance control. The proposed observer is based on a Kalman-filter that takes into account the external forces acting on suspension while the vehicle is turning or accelerating. Furthermore a practical state-reset strategy is proposed in order to improve estimation performances for wheelie manoeuvres and to limit the estimated state into suspension physical bounds. The experimental results show that the suspension position can be correctly estimated both on road and off-road driving conditions.
  • 关键词:KeywordsKalman filtering techniques in automotive controlVehicle dynamic systemsSuspension ElongationSemi-Active SuspensionInertial sensors
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