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Time-Variant Frequency Response Function Measurements on Weakly Nonlinear, Arbitrarily Time-Varying Systems Excited by Periodic Inputs

机译:周期性输入激励的弱非线性任意时变系统的时变频率响应函数测量

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摘要

In quite some applications, the linear dynamics of the system under test evolve over time in a smooth nonperiodic manner. The dynamic behavior of such systems is uniquely described by the time-variant frequency response function (TV-FRF). However, since most real-life systems behave nonlinearly to some extent, it is important to detect and quantify the deviation between the ideal linear time-variant (LTV) framework and the true non-LTV dynamics. Therefore, in this paper, a nonparametric estimation procedure is developed for detecting and quantifying the noise level and the level of the nonlinear distortions in TV-FRF measurements using random-phase multisine excitations. As a result, the users can decide whether or not the LTV framework is accurate enough to describe the true dynamics in their particular application. The proposed measurement procedure is illustrated on a time-variant electronic circuit.
机译:在相当多的应用中,被测系统的线性动力学会以平滑的非周期性方式随时间变化。此类系统的动态行为由时变频率响应函数(TV-FRF)唯一描述。但是,由于大多数现实生活中的系统在某种程度上表现为非线性,因此检测和量化理想线性时变(LTV)框架与真实非LTV动态之间的偏差非常重要。因此,在本文中,开发了一种非参数估计程序,用于检测和量化使用随机相位多正弦激励的TV-FRF测量中的噪声水平和非线性失真的水平。结果,用户可以决定LTV框架是否足够准确以描述其特定应用程序中的真实动态。在时变电子电路上说明了建议的测量过程。

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