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首页> 外文期刊>Chinese journal of aeronautics >Discrete Methods Based on First Order Reversal Curves to Identify Preisach Model of Smart Materials
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Discrete Methods Based on First Order Reversal Curves to Identify Preisach Model of Smart Materials

机译：基于一阶反转曲线的离散方法识别智能材料的Preisach模型

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摘要

Preisach model is widely used in modeling of smart materials. Although first order reversal curves (FORCs) have often found applications in the fields of physics and geology, they are able to serve to identify Preisach model. In order to clarify the relationship between the Preisach model and the first order reversal curves, this paper is directed towards: (1) giving the reason a first order reversal curve is introduced; (2) presenting, for identifying Preisach model, two discrete methods, which are analytically based on first order reversal curves. Herein also is indicated the solution's uniqueness of these two identifying methods. At last, the validity of these two methods is verified by simulating a real smart actuator both methods have been applied to.
机译：Preisach模型广泛用于智能材料的建模。尽管一阶反转曲线（FORC）经常在物理学和地质学领域得到应用，但它们能够识别Preisach模型。为了弄清Preisach模型与一阶反转曲线之间的关系，本文针对：（1）给出引入一阶反转曲线的原因； （2）提出了两种离散方法，用于识别Preisach模型，它们是基于一阶反转曲线进行分析的。本文还指出了这两种识别方法的唯一性。最后，通过模拟两种方法都适用的真实智能执行器，验证了这两种方法的有效性。

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