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[期刊论文]

A practical parameter tuning algorithm for super-twisting algorithm-based differentiator and its application in altitude ground test facility

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author:

Wang, J. (Wang, J..) [1] | Zhang, H. (Zhang, H..) [2] | Dan, Z. (Dan, Z..) [3] | Unfold

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Scopus

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. © The Author(s) 2024.

Keyword:

altitude ground test facility differentiation Differentiator filtering parameter tuning algorithm stability

Community:

  • [ 1 ] [Wang J.]College of Mathematics and Statistics, Fuzhou University, China
  • [ 2 ] [Zhang H.]College of Computer and Data Science, Fuzhou University, China
  • [ 3 ] [Dan Z.]Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, China
  • [ 4 ] [Zhang S.]Sichuan Gas Turbine Establishment, Aero Engine Corporation of China, China
  • [ 5 ] [Xiao G.]School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
  • [ 6 ] [Zhai C.]College of Automation, China University of Geosciences, 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:

30 Days PV: 0

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