• DocumentCode
    2849076
  • Title

    6 Degree-0f-Freedom Long-Term Waveform Replication Control

  • Author

    Guan, Guangfeng ; Xiong, Wei ; Wang, Haitao ; Han, Junwei

  • Author_Institution
    Dept. of Mech. Eng., Dalian Maritime Univ., Dalian, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The multi-input multi-output (MIMO) long-term waveform replication control is presented to reproduce the longterm reference waveform and further enhance the effectiveness of multi degree-of-freedom (DOF) vibration qualification test. When the duration of the reference waveform is long enough that can not be processed within a single fast Fourier transform (FFT) frame, the conventional MIMO transient waveform control algorithm can only take the typical part-time duration as the reference waveform. In MIMO long-term waveform control algorithm, the drive signals is segmented into subsequences and updated in each based on MIMO circular convolution. And then the whole long-term reference waveform can be replicated in high precision. The improved algorithm is applied to the acceleration waveform replication on the 6 DOF hydraulic vibration table. Test results verify the performance of the algorithm.
  • Keywords
    MIMO systems; fast Fourier transforms; transient analysis; vibration control; 6 DOF hydraulic vibration table; MIMO circular convolution; MIMO long-term waveform replication control; acceleration waveform replication; conventional MIMO transient waveform control algorithm; multidegree-of-freedom vibration qualification test; multiinput multioutput system; single fast Fourier transform frame; Acceleration; Control systems; Convolution; Fast Fourier transforms; MIMO; Mechanical engineering; Qualifications; Transportation; Vehicle crash testing; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5365263
  • Filename
    5365263