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Parameter Identification Method for a Periodic Time-Varying System Using a Block-Pulse Function

机译:基于块脉冲函数的周期性时变系统参数辨识方法

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摘要

For periodic time-varying systems, a method of parameter identification based on the block-pulse function is presented. Firstly, the state-space equation of the system was expanded using the block-pulse function, then the recursion formula of the parameter identification of a time-varying system was obtained, according to the irrespective and orthogonal characteristics of the block-pulse function. This study provides a wide range of applications by saving time in calculation with a highly accurate method. The parameter identification was carried out by including the numerical simulation model of a three-degree freedom system and the vibration experiment results of an asymmetrical rotor system. The state space wavelet method and EMD method were compared cross-sectionally with the proposed method; this shows that the proposed method is accurate and effective, which makes it valuable in numerous applications. It also has a certain application value for several related projects.
机译:针对周期性时变系统,提出了一种基于块脉冲函数的参数辨识方法。首先,利用块-脉冲函数展开了系统的状态-空间方程,然后根据块-脉冲函数的不规则和正交特性,得到了时变系统参数辨识的递归公式;本研究采用高精度方法节省计算时间,具有广泛的应用价值。通过纳入三自由度系统的数值模拟模型和非对称转子系统的振动实验结果,进行参数辨识。将状态空间小波法和EMD法与所提方法进行横截面比较;这表明所提方法准确有效,在众多应用中具有价值。对于几个相关项目也有一定的应用价值。

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