基于素数因子的闭环模型验证在柔性结构中的应用

M. Crowder, R. A. Callafon
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引用次数: 5

摘要

本文研究了用素数分解构造的不确定性模型检验实验闭环频域数据一致性的问题。本文提出的不确定性模型利用稳定反馈控制器的知识来构造和表述模型上的不确定性。随后,基于闭环数据,利用与控制器相关的素因子不确定性模型制定模型(in)验证试验。对来自灵活结构的样本数据进行模型验证,以说明所提出的模型验证结果。一个基于开环的不确定性模型也被用来证明闭环不确定性建模相对于开环不确定性建模的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coprime factor based closed-loop model validation applied to a flexible structure
This paper addresses the problem of checking the consistency of experimental closed-loop frequency-domain data with uncertainty models that are structured using coprime factorizations. The uncertainty models presented in this paper use the knowledge of a stabilizing feedback controller to structure and formulate the uncertainty on a model. Subsequently, the controller dependent coprime factor uncertainty model can be used to formulate model (in)validation tests on the basis of closed-loop data. The model (in)validation is performed on sample data from a flexible structure to illustrate the presented model validation results. An open-loop based uncertainty model is also used to demonstrate the benefits of closed-loop uncertainty modeling over open-loop uncertainty modeling.
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