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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2017, Vol. 38 ›› Issue (2): 220458-220465.doi: 10.7527/S1000-6893.2016.0253

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Multi-degree-of-freedom non-Gaussian random vibration control

MENG Han1, HUANG Hai1, HUANG Zhou2   

  1. 1. School of Astronautics, Beihang University, Beijing 100083, China;
    2. Institute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621900, China
  • Received:2016-05-20 Revised:2016-09-07 Online:2017-02-15 Published:2016-10-09

Abstract:

The drive signal and the response signal generated by traditional multi-degree-of-freedom (MDOF) random vibration control method are both Gaussian signal. However, the real vibration interference signal is always super-Gaussian, while sub-Gaussian random excitation is mainly used to reduce the maximum amplitude of the drive signal. To achieve MDOF sub-Gaussian and super-Gaussian vibration control, an MDOF non-Gaussian random vibration control method is proposed, which solve the coupling problem through system identification, and select special phase to generate non-Gaussian pseudo-random drive signal, and then the pseudo-random drive signal is transformed to real random non-Gaussian drive signal through time domain randomization. The sub-Gaussian and super-Gaussian experiments based on a Hexapod-based MDOF micro vibration test bed show that the response power spectral density (PSD) of response signals obtained by the proposed method are limited to ±3 dB error band of reference PSD. Compared to that in the Gaussian experiment, the drive signal in the sub-Gaussian experiment decreases by more than 20%. In the super-Gaussian experiment, the error between the kurtosis of response signal and the reference value is within 0.2. Effectiveness of the proposed method can be validated by the experiment results.

Key words: non-Gaussian random vibration control, multi-degree-of-freedom, power spectrum density, kurtosis, phase selection

CLC Number: