具有位置无关误差收敛的位置依赖柔性系统的状态估计综合

K. W. Verkerk, Yanin Kasemsinsup, H. Butler, S. Weiland
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引用次数: 1

摘要

本文提出了一种具有输出动力学固有非线性的高技术柔性系统的状态估计器。我们考虑一个应用,其中传感器测量的柔性系统成为参数(位置)依赖。提出了一种LPV设置,用于估计系统的柔性模态。研究了误差动力学中极点放置的可能性,并对其进行了表征。特别地,导出了估计量收敛是参数无关的充分必要条件。此外,提出了一种特征值移位技术,提高了估计柔性模态的收敛性。通过一个基本实例和一个全柔性系统模型的仿真结果,验证了所提估计算法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
State estimator synthesis for position dependent flexible systems with position independent error convergence
In this paper a state estimator for high tech flexible systems with an inherent nonlinearity in the output dynamics is proposed. We consider an application in which sensor measurements of the flexible system become parameter (position) dependent. An LPV setting is proposed for the design of estimators that estimate flexible modes of the system. The possibility of pole placement for the error dynamics is investigated and characterized. In particular, necessary and sufficient conditions are derived for the estimator convergence to be parameter independent. In addition, an eigenvalue-shifting technique that improves the convergence of the estimated flexible modes is presented. Simulation results on a basic example and a full flexible system model are used to demonstrate the merits of the proposed estimation algorithms.
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