A Chattering-Free Sliding Mode Filter Enhanced by First Order Derivative Feedforward
A Chattering-Free Sliding Mode Filter Enhanced by First Order Derivative Feedforward
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DOI：
10.1109/access.2020.2976737
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发表时间：
2020-02
期刊：
影响因子：
3.9
通讯作者：
Shanhai Jin;Zhengxiang Lv;Xiaogang Xiong;Jingdong Yu
中科院分区：
文献类型：
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作者：
Shanhai Jin;Zhengxiang Lv;Xiaogang Xiong;Jingdong Yu
降噪是反馈控制系统的重要问题之一。针对这一问题，本文提出了一种新的滑模滤波器，它是对Lv等人的抛物型滑模滤波器的改进。该滤波器采用了一阶导数前馈项，以提高跟踪和噪声衰减性能。其离散时间算法是通过应用隐式欧拉离散化，它实现了精确收敛，而不会产生抖振的离散时间执行。所提出的滤波器的有效性进行评估，通过开环和闭环的数值例子。
Noise reduction is one of the important issues for feedback control systems. Toward this problem, this paper proposes a new sliding mode filter, which is an improvement of Lv et al. ’s parabolic sliding mode filter. The proposed filter employs a first-order derivative feed-forward term for increasing both tracking and noise attenuating performances. Its discrete-time algorithm is derived by applying the implicit-Euler discretization, and it realizes exact convergence without producing chattering in discrete-time implementation. The effectiveness of the proposed filter is evaluated through an open-loop and a closed-loop numerical examples.