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Gust Response and Active Suppress based on Reduced Order Models

  • Yang, Guowei (LMFS of Institute of Mechanics, Chinese Academy of Sciences) ;
  • Nie, Xueyuan (LMFS of Institute of Mechanics, Chinese Academy of Sciences) ;
  • Zheng, Guannan (LMFS of Institute of Mechanics, Chinese Academy of Sciences)
  • Received : 2015.06.03
  • Accepted : 2015.09.02
  • Published : 2015.12.30

Abstract

A gust response analyses method based on Reduced Order Models (ROMs) was developed in the paper. Firstly, taken random signal as the input signal and adopt Single Input-Multi-Output (SIMO) training fashion, a ROM based on Auto-Regressive and Moving Average model (ARMA) was established and validated with the comparison of CFD/CSD and experiment. Then, by introducing control surface deflection and control laws, flutter active suppress was studied. Lastly, through filtering and transferring function, the gust temporal signal is obtained based on Dryden gust model, and gust response and suppress were simulated.

Keywords

References

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