非对称迟滞模型的凸辨识

Marcus Hedegärd, T. Wik
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引用次数: 1

摘要

广义Prandtl-Ishlinskii迟滞模型(GPI)具有广泛的适用性,部分原因是它能够模拟高度不对称的迟滞。与改良的Prandtl-Ishlinskii模型相比,GPI模型的一个缺点是,它们必须使用参数非凸方法来识别。然而,最近,描述了一种非参数凸辨识方法的扩展和更一般的GPI模型,给出了所有的模型函数。本文简要介绍了基于输入离散方程的方法,以及相应的输入连续方程。该扩展模型对应于Preisach模型,并导出了该关系的显式表达式。该方法直接适用于由一阶反转曲线组成的数据,但在变电站设备中的应用表明,其他类型的数据也可以使用。该方法比以前的研究更接近于该数据,并且证明了不相等的左右包络函数是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convex identification of models for asymmetric hysteresis
The generalized Prandtl-Ishlinskii model (GPI) of hysteresis has a wide applicability, partly because of its capability of modelling highly asymmetric hysteresis. A disadvantage of the GPI models compared to, for example the Modified Prandtl-Ishlinskii models, has been that they have had to be identified using parametric non convex methods. Recently though, a method for non-parametric convex identification for an extended and more general GPI model was described, giving all model functions. Here, the method, which was based on input discrete equations, is briefly presented in terms of the corresponding input continuous equations. This extended model corresponds to a Preisach model and an explicit expression for this relation is derived. The method is directly applicable to data consisting of first order reversal curves, but in an application to an electrical substation equipment, it is shown that other kinds of data can also be used. The method gives significantly closer fit to this data than previous studies, and it demonstrates that non-equal left and right envelope functions are optimal.
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