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Identification of parameters in a complete-moving-hysteresis model

机译:完整运动迟滞模型中的参数识别

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A complete scalar hysteresis model for magnetic recording media is presented. A hysteresis model is discussed that is capable of computing both major and minor loop traversals. Since the system is nonlinear and hysteretic, traditional parameter identification strategies cannot be used. The identification problem for such a system is formulated and a solution to the complete identification problem is given. It is shown that under certain conditions, the model has seven parameters, and that the order in which these parameters are identified is a critical part of the algorithm. The identification algorithm is robust in the presence of experimental errors. The model has been developed to accurately describe magnetic hysteresis, but since it is phenomenological in nature, the method described can be used to characterize hysteretic systems, including the identification of such systems.
机译:提出了用于磁记录介质的完整标量磁滞模型。讨论了能够计算主循环和次循环遍历的磁滞模型。由于系统是非线性和滞后的,因此无法使用传统的参数识别策略。提出了这种系统的识别问题,并给出了完整识别问题的解决方案。结果表明,在某些条件下,模型具有七个参数,识别这些参数的顺序是算法的关键部分。在存在实验错误的情况下,识别算法是可靠的。已经开发了该模型以精确描述磁滞,但是由于它本质上是现象学的,因此所描述的方法可用于表征磁滞系统,包括识别此类系统。

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