PAN Ming-hai, LIANG Zhi-heng. Design and Analysis of a Wideband Random Vibration Controller[J]. INFORMATION AND CONTROL, 2008, 37(2): 253-256.
Citation: PAN Ming-hai, LIANG Zhi-heng. Design and Analysis of a Wideband Random Vibration Controller[J]. INFORMATION AND CONTROL, 2008, 37(2): 253-256.

Design and Analysis of a Wideband Random Vibration Controller

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  • Received Date: November 01, 2006
  • Published Date: April 19, 2008
  • An implementation method is presented for a random vibration controller,which can produce real-time vibration exciting signals with high accuracy.With this method,the signal-to-noise ratio of wideband random signal can reach 70dB,and it can be used in the driving control signals of random shaking table with high precision.Simulation is carried out successfully on the tested products.The computer simulation and test results demonstrate the validity of the proposed method.
  • [1]
    邹群,张有正.由幅度谱重构序列的一个新方法[J].信号处理,1997,13(3):207~213,198.
    [2]
    贺旭东,陈怀海.利用FIR滤波器生成随机振动试验驱动信号的新方法[J].航空学报,2003,24(3):220~222.
    [3]
    杨凤凤,周智敏.基于ZMNL法的雷达杂波仿真[J].现代雷达,2003,25(9):22~24.
    [4]
    Saechi M D,Ulrych T J,Walker C J.Interpolation and extrapola-tion using a high-resolution discrete Fourier transform[J].IEEETransactions on Signal Processing.1998,46(1):31~38.
    [5]
    Lu C,Gupta S.Optimal design of muhirate distal filters with application to interpolation[J].IEEE Transactions on Circuits and Systems,1979,26(3):160~165.
    [6]
    Dujindam A J W,SchonewiUe M A,Hindriks C O H.Reeon-strucfion of band-limited signals,irregularly sampled along one spatial direction[J].Geophysics,1999,64(2):524~538.
    [7]
    徐雷,王国印.用模拟遇火法由部分采样点和幅谱重建离散有限时宽信号[J].电子学报,1990,18(4):49~56.
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