基于扭转算法的动态系统状态观测方法

Lasse Schmidt, T. Andersen, H. Pedersen
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引用次数: 1

摘要

本文讨论了一种新的动态系统状态估计方法,特别关注液压阀缸驱动。所提出的观测器结构是基于所谓的扭曲算法框架。该算法利用状态作为观测目标的符号,并不直接暗示其对状态观测的适用性。然而,在离散情况下,这种方法可以应用于使用中间积分过程来获得实时导数。此外,通过Lyapunov参数提出并分析了算法的不同类型增益,并利用在线可用的工厂信息,专门为液压驱动器提出了一个特殊版本的观测器。为了评估不同观测器增益的观测器的确切性能,对所提出的观测器结构进行了仿真研究,结果证实了所提出的观测器结构易于实现,产生的相移非常有限,并且对测量噪声具有很高的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An approach for state observation in dynamical systems based on the twisting algorithm
This paper discusses a novel approach for state estimation in dynamical systems, with the special focus on hydraulic valve-cylinder drives. The proposed observer structure is based on the framework of the so-called twisting algorithm. This algorithm utilizes the sign of the state being the target for the observation, not directly implying its applicability for state observation. However it is shown that in the discrete case this approach may be applied to obtain a real time derivative using an intermediate integral process. Furthermore, different types of gains for the algorithm are suggested and analyzed via Lyapunov arguments, and a special version of the observer is proposed specifically for hydraulic drives utilizing online available plant information. The proposed observer with different observer gains are subjected to simulation studies in order to evaluate the exact properties, and results confirm that the proposed observer structure is easily implemented, produces very limited phase shift and is highly robust toward measurement noise.
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