• DocumentCode
    3438163
  • Title

    Valve´s dynamic damping characteristics — Measurement and identification

  • Author

    Lai, Ru ; Liu, Xiangdong ; Wu, Guoqiang ; Chen, Zhen

  • Author_Institution
    Sch. of Autom., Beijing Inst. of Technol., Beijing, China
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    970
  • Lastpage
    975
  • Abstract
    This paper proposes a novel method to test the dynamic damping characteristics of valve. The testing system employs the vertical movement pattern, and has a suspension support structure. Force sensors are installed to measure the dynamic friction of the working valve directly. Making use of LuGre friction model and both adaptive genetic algorithm and chaos particle swarm optimization algorithm, the valve´s dynamic damping parameters can be identified. Experiments have been carried out on a piston rod with a rubber ring and a steel cylinder. The results demonstrate the designed dynamic damping test system and the parameter identification algorithms are effective.
  • Keywords
    damping; dynamic testing; force sensors; friction; genetic algorithms; particle swarm optimisation; pistons; rings (structures); rods (structures); valves; LuGre friction model; adaptive genetic algorithm; chaos particle swarm optimization algorithm; dynamic damping characteristics; dynamic friction; force sensors; parameter identification algorithms; piston rod; rubber ring; steel cylinder; suspension support structure; testing system; valve; vertical movement pattern; Chaos; Damping; Dynamics; Friction; Genetic algorithms; Particle swarm optimization; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161054
  • Filename
    6161054