基于采样输出的连续二阶滑模观测器

I. Salgado, J. Moreno, I. Chairez
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引用次数: 8

摘要

在实际系统中实现的大多数状态观测器都不能连续测量信息。滑动观察员也不例外。然而,当状态观测器用于数值应用甚至实际系统时,必须实现基于采样的观测器。本文研究了一种基于超扭算法的二阶滑模观测器,考虑到输出只能在特定时间段内测量,为此,提出了一个零阶保持器对输出进行采样。用李雅普诺夫稳定性对连续观测器进行了分析。本文提出了一个强李雅普诺夫函数来显示边界层的有限时间收敛性,该收敛性取决于采样周期。将所得结果应用于双连杆机器人,比较了不同采样周期下观测器效率的变化情况,揭示了采样周期对观测器效率的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sampled output based continuous second order sliding mode observer
Most of state observers implemented in real systems are not able to measure the information continuously. The sliding observers are not an exception. Nevertheless, when state observers are used in numerical applications or even in real systems, one must implement a sampled based observer. In this paper, a second order sliding mode observer based on the supertwisting algorithm is studied, tacking into account that the output only can be measure in specific periods of the time, to do this, a zero order hold is proposed to sampling the output. The continuous observer is analized in terms of Lyapunov stability. It have been proposed a strong Lyapunov function to show finite-time convergence into a boundary layer that depends on the sampled period. The result is applied into a two-link robot manipulator and it is compared the observer efficiency between different sampled periods to show how the result is affected by the sampling interval.
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