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Identification of Sandwich Systems with Hysteresis Based onTwo-stage Method

机译:基于滞后的夹层系统的鉴定基于OnTWO阶段方法

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In this paper, a two-stage method for identificationof the sandwich systems with hysteresis is proposed. In the firststage of this method, a monotonic and independentlyincremental signal is used to degenerate the hysteresis into astatic function 'with one-to-one mapping. Thus, the sandwichsystem with hysteresis can be transformed into a systemdescribed by the combination of the transformed variables andthe separated parameters based on the key term separationprinciple. Therefore, the parameters of the'linear subsystemsare estimated by the Recursive General IdentificationAlgorithm (RGIA) since the transformed model is of the formcontaining linear coefficients. Then, in the second stage, basedon the obtained linear subsystem models, the, sandwich systemwith hysteresis is re-excited by a sine signal with attenuatedamplitude. In this case, the hysteresis subsystem can beidentified using neural networks based on the expanded inputspace method. Finally, the corresponding experimental resultsare presented.
机译:在本文中,提出了一种具有滞后系统的夹层系统的两阶段方法。在该方法的第一静图中,单调和独立性地表示信号用于将滞后与一对一的映射结来进入ASTATIC功能。因此,具有滞后的夹心系统可以通过转换变量的组合和基于关键术语分离的分离参数的组合转换为系统统一。因此,由于变换模型的递归通用架构(RGIA)估计的“线性子系统的参数是形成线性系数的形式。然后,在第二阶段,基于所获得的线性子系统模型,Sandwich Systemwith滞后通过具有衰减的阳极信号重新激发。在这种情况下,基于扩展的输入空间方法,可以使用神经网络对滞后子系统进行替代。最后,相应的实验结果呈现。

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