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

机译:基于EMD的能量算子解调方法在机械系统辨识中的应用

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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.
机译:需要超精密定位系统的动态特性(例如固有频率和阻尼比)来准确预测对外部激励的响应并实现高精度。提出了一种基于经验模态分解(EMD)的能量算子解调方法,以实现参数识别,识别精度高,计算量小。首先,EMD方法用于将测得的MDOF结构的脉冲响应分解为许多模态响应。然后,将能量算子解调方法应用于每个模态响应,以计算瞬时振幅和瞬时频率。最后,执行线性最小二乘拟合程序以准确估计系统参数,例如固有频率和阻尼比。理论分析和仿真结果表明,基于EMD的能量算子解调方法可以成功地应用于系统辨识。

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