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Title: Sliding mode differentiator via improved adaptive notch filter (English)
Author: Wang, Juan
Author: Zhang, Hehong
Author: Yu, Yuanlong
Author: Dan, Zhihong
Author: Xiao, Gaoxi
Author: Gu, Qiuming
Author: Zhai, Chao
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 58
Issue: 4
Year: 2022
Pages: 547-563
Summary lang: English
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Category: math
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Summary: 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. (English)
Keyword: sliding mode differentiator
Keyword: parameter tuning scheme
Keyword: adaptive notch filter
Keyword: altitude ground test facility
MSC: 93A30
MSC: 93Cxx
idZBL: Zbl 07655846
idMR: MR4521855
DOI: 10.14736/kyb-2022-4-0547
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Date available: 2022-12-02T13:13:19Z
Last updated: 2023-03-13
Stable URL: http://hdl.handle.net/10338.dmlcz/151164
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