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On the hysteretic Bouc-Wen model - Part II: Robust parametric identification

机译:关于迟滞Bouc-Wen模型-第二部分:稳健的参数识别

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This paper deals with the problem of identifying the parameters of the hysteretic Bouc-Wen model. In the existing literature, the methods devoted to this problem rely mainly on numerical simulations and do not have, to a very large extent, a rigorous mathematical justification. Our method consists in exciting the hysteretic system with a periodic input and obtain the desired parameters from the resulting limit cycle. The identification method that we propose has a rigorous mathematical basis as it based on the analytic description of the limit cycle, and, unlike existing identification methods for the Bouc-Wen model, gives guaranteed relative errors between the (unknown) exact model parameters and their corresponding estimates. We also prove that this method is robust with respect to constant and T-periodic disturbances commonly present in any laboratory experiment. A numerical simulation example illustrates the use of our identification method.
机译:本文涉及确定迟滞Bouc-Wen模型参数的问题。在现有文献中,致力于该问题的方法主要依赖于数值模拟,并且在很大程度上没有严格的数学依据。我们的方法包括使用周期性输入来激励磁滞系统,并从产生的极限循环中获得所需的参数。我们提出的识别方法具有严格的数学基础,因为它基于极限循环的解析描述,并且与Bouc-Wen模型的现有识别方法不同,该方法可以保证(未知)精确模型参数与其参数之间的相对误差。相应的估算值。我们还证明,相对于任何实验室实验中常见的恒定和T周期扰动,该方法都是可靠的。数值模拟示例说明了我们识别方法的使用。

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