Tracking through singularities using sliding mode differentiators

Castillo–Toledo, B.; Gennaro, S. Di; López-Cuevas, Armando

doi:10.14736/kyb-2015-1-0020

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2022

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“…As a part of the extensive studies on differentiator algorithms, the sliding mode differentiator (SMD) has been widely applied in tackling real-life engineering problems [6,26,35] due to its advantageous smoothness in filtering and robustness against disturbances. The sliding mode control algorithms with the robust stability proposed in [1] and [20] provide a good way to design new advanced differentiators to process noisepolluted signals.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode differentiator via improved adaptive notch filter

Wang¹,

Zhang²,

Yu³

et al. 2022

Kybernetika

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To tackle the difficulty in tuning the parameters of sliding mode differentiator (SMD), an improved adaptive notch filter based real-time parameter tuning scheme (denoted as ANF-SMD) is presented. Specifically, the integral feedback of the system output errors is introduced in constructing the cost function for the adaptive notch filter so as to estimate the real-time amplitude and frequency of given inputs. Then, upon the deterministic formula between the parameters of the SMD and the input signals, the parameters of the SMD can be adjusted adaptively as inputs vary. Simulation results show that the proposed ANF-SMD scheme performs well in signal filtering and differentiation estimation. The effectiveness of the proposed ANF-SMD is further experimentally verified on the pressure signal processing for the altitude ground test facility.

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