• DocumentCode
    524872
  • Title

    Intergrated optimization design for ultra-precision active vibration isolation platform based on the genetic algorithm

  • Author

    Yi, Zhang ; Min-Min, Xia ; Hu, Zhang ; Zi-Fan, Fang ; Da-lin, Zhu

  • Author_Institution
    Coll. of Mech. & Mater. Eng., China Three Gorges Univ., Yichang, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    3149
  • Lastpage
    3152
  • Abstract
    This paper presents an approach to integrate structural and control parameters optimization for an active vibration isolation system based on the elitist strategy genetic algorithm. This method, which takes the total weighted root mean square of the acceleration of isolation platform, the dynamic deflection of isolation system and the dynamic displacement of the base as optimization performance indicators, combines mechanical structure design and LQG controller design for integrated optimization of active vibration isolation system. The theoretical analysis and simulation results demonstrate that the method can effectively improve the isolation effect of active vibration isolation system.
  • Keywords
    control system synthesis; genetic algorithms; linear quadratic control; mean square error methods; vibration isolation; LQG controller design; elitist strategy genetic algorithm; integrated optimization design; mechanical structure design; total weighted root mean square; ultraprecision active vibration isolation platform; Algorithm design and analysis; Control systems; Design methodology; Design optimization; Diversity reception; Genetic algorithms; Optimal control; Signal design; Structural engineering; Vibration control; LQG control; active vibration isolation system; genetic algorithm; integrated optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535585
  • Filename
    5535585