2020
DOI: 10.1109/access.2020.3016141
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A Variable Gain Sliding Mode Tracking Differentiator for Derivative Estimation of Noisy Signals

Abstract: Estimating reliable signal component and its derivatives from noisy feedback signal is important in control systems. Toward this problem, this paper presents a new model-free variable gain sliding mode tracking differentiator for derivative estimation of noisy signals by modifying a Levant and Yu's sliding mode tracking differentiator. Specifically, different from Levant and Yu's TD, the new TD employs an additional variable that contributes to overshoot reduction. In addition, the new TD adaptively changes it… Show more

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Cited by 7 publications
(5 citation statements)
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“…In some literature, TD proposed by Han [22] is used to replace the low-pass flter, yet it may lead to a phase lag in the transient period. In this paper, x 3c is passed through an improved sliding mode TD [28], getting new x 3d and _ x 3d . Te improved TD has slighter overshoot and faster response speed, which can guarantee the accuracy of _ x 3c − _ x 3d .…”
Section: Design Of Autopilot Control Input Via New Trackingmentioning
confidence: 99%
See 2 more Smart Citations
“…In some literature, TD proposed by Han [22] is used to replace the low-pass flter, yet it may lead to a phase lag in the transient period. In this paper, x 3c is passed through an improved sliding mode TD [28], getting new x 3d and _ x 3d . Te improved TD has slighter overshoot and faster response speed, which can guarantee the accuracy of _ x 3c − _ x 3d .…”
Section: Design Of Autopilot Control Input Via New Trackingmentioning
confidence: 99%
“…Increase of κ can improve tracking speed and reduce overshoot, but it can also augment the efect of noise. Te stability proof and parameter selection rules of the variable gain sliding mode TD are presented in [28].…”
Section: Design Of Autopilot Control Input Via New Trackingmentioning
confidence: 99%
See 1 more Smart Citation
“…Input signals and their derivative signals are often used in control systems, but due to external environmental factors, the input signals often contain noise, which can reduce system performance [1]. On the other hand, the numerical difference method is used by some researchers to calculate the differentiation of input signals due to its easy implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Model-free adaptive windowing based variable gain method is presented in Ref. [21] for reducing overshoot by balancing the tracking and filtering performances. However, the overshoot reduction rate is not sufficient enough, and considerable previous output values are required for windowing, which increases the computational load.…”
Section: Introductionmentioning
confidence: 99%