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author:

Wang, Juan (Wang, Juan.) [1] | Zhang, Hehong (Zhang, Hehong.) [2] (Scholars:张和洪) | Dan, Zhihong (Dan, Zhihong.) [3] | Zhang, Song (Zhang, Song.) [4] | Xiao, Gaoxi (Xiao, Gaoxi.) [5] | Zhai, Chao (Zhai, Chao.) [6]

Indexed by:

EI Scopus SCIE

Abstract:

The super-twisting algorithm (STA)-based robust exact differentiator (RED) proposed by Levant has been widely applied in control, observation, and fault detection. With properly set parameters, STA-RED is able to estimate exactly and robustly the derivatives of an input. With a given input signal, however, a practical parameter tuning rule still lacks. To this end, a general parameter tuning algorithm with the full stability proof for STA-RED is proposed. In particular, the time linear transformation and the coordinate transformation are performed on a given base signal, allowing the deterministic relationship between the parameters of STA-RED and the amplitude and the frequency of the input to be obtained. The full stability of the STA-RED based on the proposed parameter tunning algorithm (denoted as PSTA-RED) with perturbations is given using the Lyapunov function method. The simulations are carried out using given input signals and the pressure signals from the altitude ground test facility to illustrate the effectiveness of the proposed PSTA-RED.

Keyword:

altitude ground test facility differentiation Differentiator filtering parameter tuning algorithm stability

Community:

  • [ 1 ] [Wang, Juan]Fuzhou Univ, Coll Math & Stat, Fuzhou, Peoples R China
  • [ 2 ] [Zhang, Hehong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Dan, Zhihong]Aero Engine Corp China, Sichuan Gas Turbine Estab, Beijing, Peoples R China
  • [ 4 ] [Zhang, Song]Aero Engine Corp China, Sichuan Gas Turbine Estab, Beijing, Peoples R China
  • [ 5 ] [Xiao, Gaoxi]Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
  • [ 6 ] [Zhai, Chao]China Univ Geosci, Coll Automation, Wuhan, Peoples R China

Reprint 's Address:

  • [Zhang, Hehong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China;;

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Source :

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

ISSN: 0142-3312

Year: 2024

Issue: 3

Volume: 47

Page: 610-620

1 . 7 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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