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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Guo Shaoqian Qin Chang'an Zhu |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Precision Machinery and Precision Instruments, University of Science and Technology of China, Hefei, China (Jie Guo; Shaoqian Qin; Chang'an Zhu) |
| 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. |
| Starting Page | 80 |
| Ending Page | 85 |
| File Size | 644850 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467316439 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-28 |
| Publisher Place | New Zealand |
| Access Restriction | Subscribed |
| Rights Holder | AUT University |
| Subject Keyword | Damping Time-frequency analysis energy operator Hilbert transform empirical mode decomposition Simulation Noise Transforms System identification system identification Demodulation |
| Content Type | Text |
| Resource Type | Article |
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