Direct closed-loop identification of magnetic suspension system

L. Sun, H. Ohmori, A. Sano
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引用次数: 14

Abstract

A new direct closed-loop identification method only using the plant input/output data acquired through an output inter-sampling scheme is presented. By taking the faster sampling of the system output than the control interval, we can clarify that the inter-sampled plant model can also be described by a SIMO model structure, which can provide the identifiability of the closed-loop. One of the advantages is that the proposed identification method using the inter-sampled output observations can remove the ordinary restrictive identifiability condition, and it is not required that the reference input holds the persistently exciting property. Its effectiveness is demonstrated through an experimental study using a magnetic suspension system.
磁悬浮系统的直接闭环辨识
提出了一种新的直接闭环辨识方法,该方法仅使用通过输出间采样方案获取的对象输入/输出数据。通过对系统输出进行比控制区间更快的采样,我们可以明确采样间的植物模型也可以用SIMO模型结构来描述,该模型结构可以提供闭环的可识别性。该方法的优点之一是利用采样间的输出观测值进行识别,可以消除常规的限制性可识别条件,并且不要求参考输入具有持续激励特性。通过磁悬浮系统的实验研究证明了其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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