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Non-parametric identification method of GFRFs for MIMO nonlinear system excited by multitone signal

机译:多音信号激励的MIMO非线性系统中GFRF的非参数识别方法

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摘要

We propose a novel non-parametric method to identify generalized frequency response functions (GFRFs) for multi-input multi-output (MIMO) nonlinear systems in this paper. Firstly, the formula to calculate GFRFs is derived in terms of the corresponding output frequency properties of GFRFs of the MIMO nonlinear system excited by a single-tone signal. Secondly, to improve the efficiency of the non-parametric identification method, we utilize the multitone excitation to drive the MIMO nonlinear system, and propose a searching algorithm of the frequency base of multitone excitation. Finally, the general procedure of identifying GFRFs of MIMO nonlinear system excited by the multitone excitation is summarized. The proposed non-parametric identification method is suitable for application as it only depends on input-output data of the MIMO nonlinear system and avoids time-consuming study of its complicated physical mechanisms. Moreover, the proposed non-parametric identification method is proved to be effective by the precisely identifying GFRFs of a two-input two-output nonlinear system.
机译:在本文中,我们提出了一种新颖的非参数方法来识别多输入多输出(MIMO)非线性系统的广义频率响应函数(GFRF)。首先,根据单音信号激发的MIMO非线性系统的GFRF的对应输出频率特性,推导了计算GFRF的公式。其次,为了提高非参数识别方法的效率,利用多音激励来驱动MIMO非线性系统,提出了一种多音激励的频率基搜索算法。最后,总结了识别多音激励所激发的MIMO非线性系统GFRF的一般过程。所提出的非参数识别方法仅取决于MIMO非线性系统的输入输出数据,并且避免了对其复杂的物理机制进行耗时的研究,因此非常适合应用。此外,通过精确识别两输入两输出非线性系统的GFRF,证明了所提出的非参数识别方法是有效的。

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