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
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