• DocumentCode
    3295420
  • Title

    Adaptive williams filters with application to suspension control: The vector case

  • Author

    Readman, Mark C. ; Corless, Martin ; Villegas, Carlos ; Shorten, Robert

  • Author_Institution
    Hamilton Inst., NUI, Maynooth, Ireland
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    4602
  • Lastpage
    4606
  • Abstract
    With active vehicle suspension, one can tailor a vehicle´s response to load and inertial disturbances without affecting the vehicle response to road disturbances. This decoupling is achieved by previous researchers and using a filtered combination of measured signals. These filters, which we call Williams filters, require exact knowledge of certain vehicle parameters including vehicle mass to achieve the desired decoupling. However, vehicle parameters, such as mass, are subject to abrupt variations as vehicle load changes. We propose an adaptive Williams filter that does not require knowledge of vehicle parameters and extends the results presented in.
  • Keywords
    adaptive filters; suspensions (mechanical components); active vehicle suspension; adaptive Williams filters; inertial disturbances; suspension control; vehicle parameters; vehicle response; Actuators; Adaptive control; Adaptive filters; Application software; Frequency; Parameter estimation; Programmable control; Road vehicles; Tires; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399652
  • Filename
    5399652