一个二阶变指数滑模微分器

M. Ghanes, J. Barbot, L. Fridman, A. Levant
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引用次数: 14

摘要

本文提出了一种新的变指数二阶滑模微分器。专用微分器以经典的超扭微分器为灵感,提供了一种降低传感器输出测量可变噪声影响的解决方案。为了实现这一目标,在超扭转微分器中固定的参数α在该微分器中变为变量。首先给出了该微分器在无噪声情况下的应用,然后详细介绍了该微分器在有输出噪声情况下的应用。在这两种情况下,观测误差的实际收敛性都得到了保证。在第一种情况下,实际稳定性的半径取决于所考虑的未知输入,而在第二种情况下,该半径也取决于噪声。最后给出了仿真结果,对比了所提微分器的性能和有效性。
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A second order sliding mode differentiator with a variable exponent
In this article, a new second order sliding mode differentiator with a variable exponent is proposed. Inspired by the classical super twisting differentiator, the dedicated differentiator allows to give a solution for reducing the effect of variable noise of sensor output measurement. To achieve this objective, the parameter α that is fixed in a super twisting differentiator is made variable in the proposed differentiator. First of all, the proposed differentiator is presented in free noise case, after that the extension to the case with output noise is given in details. In both cases the practical convergences of the observation error are guaranteed. In the first the radius of the practical stability is depending on the considered unknown input while in the second case this radius depends also on the noise. Finally some simulation results are given in order to show the performances and the effectiveness of the proposed differentiator compared to existing one.
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