Tracking control of uncertain Euler–Lagrange systems with fading and saturating actuations : A low-cost neuroadaptive proportional-integral-derivative approach

  • Huan LIU
  • , Zhen GAO
  • , Lan CAO
  • , Ziqiang JIANG
  • , Jie ZHANG
  • , Yongduan SONG*
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

10 Citations (Scopus)

Abstract

Many important engineering systems can be classified as Euler–Lagrange (EL) systems. In this work we develop a new Proportional-Integral-Derivative (PID) -based tracking control solution for uncertain EL systems subject to actuation failures and saturation. Two set of control algorithms are developed using robust adaptive and neuroadaptive methods, which are shown to exhibit several salient features: (1) the control schemes are of PID form, hence is characterized with simplicity in structure and intuition in concept; (2) the PID gains in the scheme are automatically updated by analytic algorithms with no need for manual tuning, rendering the control scheme more user-friendly; and (3) the developed control algorithms are robust against nonvanishing disturbances, adaptive to unknown virtual parameter and immune to partial actuation effectiveness faults.
Original languageEnglish
Pages (from-to)2705-2721
Number of pages17
JournalInternational Journal of Robust and Nonlinear Control
Volume32
Issue number5
Early online date5 May 2021
DOIs
Publication statusPublished - Mar 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 John Wiley & Sons Ltd.

Funding

This work was support in part by Zhejiang Laboratory under Grant 2019NB0AB06 and in part by National Natural Science Foundation of China under Grant 61833013, 61773081, 61860206008, and 61933012.

Keywords

  • actuator failure
  • actuator saturation
  • fault tolerance
  • neural network learning
  • robust adaptive

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