• DocumentCode
    3562005
  • Title

    The application of energy operator demodulation approach based on EMD in mechanical system identification

  • Author

    Jie Guo ; Shaoqian Qin ; Chang´an Zhu

  • Author_Institution
    Dept. of Precision Machinery & Precision Instrum., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • Firstpage
    80
  • Lastpage
    85
  • Abstract
    The dynamic properties, such as the natural frequencies and damping ratios, of ultra-precise positioning systems are needed for accurately predicting the response to external excitations and achieving high precision. This paper proposes the energy operator demodulation approach based on the empirical mode decomposition (EMD) method for realizing parametric identification, which has high identification precision and low calculation. Firstly, the EMD method is used to decompose measured impulse response of a MDOF structure into a number of modal responses. Then the energy operator demodulation approach is applied to each modal response to calculate the instantaneous amplitudes and instantaneous frequencies. Finally, the linear least-square fit procedure is performed to accurately estimate the system parameters, such as the natural frequencies and damping ratios. The theoretical analysis and simulation results demonstrate that the energy operator demodulation approach based on EMD can be successfully applied to system identification.
  • Keywords
    Hilbert transforms; damping; demodulation; least squares approximations; parameter estimation; precision engineering; EMD method; MDOF structure; damping ratios; empirical mode decomposition method; energy operator demodulation; instantaneous amplitudes; instantaneous frequencies; linear least square fit procedure; mechanical system identification; natural frequencies; parametric identification; system identification; ultraprecise positioning systems; Damping; Demodulation; Noise; Simulation; System identification; Time-frequency analysis; Transforms; Hilbert transform; empirical mode decomposition; energy operator; system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Machine Vision in Practice (M2VIP), 2012 19th International Conference
  • Print_ISBN
    978-1-4673-1643-9
  • Type

    conf

  • Filename
    6484571