• DocumentCode
    2048723
  • Title

    The application of vibration theory in coupling analysis and signal optimization of integrated stabilization system

  • Author

    Lijun Yu ; Zhengkun Wang ; Hui Wang ; Chao Che

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    2296
  • Lastpage
    2300
  • Abstract
    For the complexity of integrated stabilization system coupled analysis, the vibration theory equation modal method is introduced into integrated stabilization system. The equations of integrated stabilization system are transformed into model space equation and the solution vector of the equation a set of base is found by using the state space method. Then, the equation has solutions which realize the decoupling of the integrated stabilization system so that the analysis of model frequency response function can be executed. In the meanwhile, we use the least square method and eliminate the polynomial trend method to optimize the input signal. This approach not only improves the signal-to-noise ratio, but also reduces the roll angel of the ship under the same input condition. The effectiveness of this method can be verified by simulation.
  • Keywords
    least mean squares methods; mechanical stability; modal analysis; vibrations; coupling analysis; integrated stabilization system; least square method; modal frequency response function; model space equation; polynomial trend method; roll angle; signal optimization; signal-to-noise ratio; solution vector; state space method; vibration theory equation modal; Couplings; Marine vehicles; Mathematical model; Optimization; Resonant frequency; Time-frequency analysis; Vibrations; Integrated stabilization system; modal analysis; random signal optimization; the coupling analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237844
  • Filename
    7237844