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Discrete time subharmonic modelling and analysis

机译:离散时间次谐波建模与分析

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摘要

Traditionally the Volterra time and frequency domain analysis tools cannot be applied to severely non-linear systems. In this paper, a new method of building a time-domain NARX MISO model for a class of severely SISO non-linear systems that exhibit subharmonics is introduced and it is shown how this allows the Volterra time and frequency domain analysis to be extended to this class of non-linear systems. The new approach is based on decomposing the original single input based on a Fourier analysis to provide a set of modified input signals which have the same period as the output signal. A MISO NARX model can then be constructed from the decomposed multiple inputs and the single output signal. The resulting MISO model is shown to meet the basic requirement for the existence of a Volterra series representation from which important frequency domain properties can be derived, explained and discussed. This is done by first introducing the derivation of generalized frequency response functions (GFRFs) from time domain MISO NARX models. The steady state response synthesis problem using the input spectrum and the MISO GFRFs is then investigated in order to verify the effectiveness and accuracy of the MISO modelling approach for severely non-linear systems. Finally a new frequency domain analysis method is introduced for systems that exhibit subharmonic oscillations.
机译:传统上,Volterra时域和频域分析工具无法应用于严重的非线性系统。本文介绍了一种为一类显示次谐波的严重SISO非线性系统建立时域NARX MISO模型的新方法,并说明了如何将Volterra时域和频域分析扩展到此方法一类非线性系统。新方法基于基于傅立叶分析的原始原始输入分解,以提供一组修改后的输入信号,这些输入信号的周期与输出信号的周期相同。然后可以从分解后的多个输入和单个输出信号构建一个MISO NARX模型。结果表明,所得的MISO模型满足了存在Volterra级数表示的基本要求,从中可以导出,解释和讨论重要的频域特性。首先通过引入时域MISO NARX模型的广义频率响应函数(GFRF)来完成此操作。然后研究了使用输入频谱和MISO GFRF的稳态响应合成问题,以验证MISO建模方法对严重非线性系统的有效性和准确性。最后,针对出现次谐波振荡的系统引入了一种新的频域分析方法。

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