Adaptive fuzzy finite-time fault-tolerant control design for nonlinear pure-feedback systems with sensor faults

Guodong You, Zhifang Shen, Bin Xu, Chuanlei Zhang, Shuangle Zhao, Xiaoxin Hou, Zhifeng Liu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This article investigates an adaptive fuzzy finite-time fault-tolerant control (FTC) scheme for nonlinear pure-feedback systems (PFSs) with sensor faults. The pure-feedback system in this article includes time-varying fault factors and unknown nonlinear functions. Choose the time-varying fault separation method to keep the fault parameters away from the actual state to avoid coupling problems. Using the mean-value theorem (MVT) to handle the non-affine functions in the system and effectively decouple the control input signals. The approximation capability of the fuzzy logic systems (FLSs) is utilized to handle the unknown functions in the system and combined with the backstepping techniques for the construction of the adaptive fault-tolerant controller. Using Lyapunov theory to verify the stability of closed-loop system. Finally, choose two simulation examples verified the validity of the control strategy.

Original languageEnglish
Pages (from-to)2000-2020
Number of pages21
JournalInternational Journal of Adaptive Control and Signal Processing
Volume37
Issue number8
DOIs
StatePublished - Aug 2023
Externally publishedYes

Keywords

  • adaptive fuzzy control
  • fault-tolerant control
  • finite-time control
  • nonlinear pure-feedback systems
  • sensor faults

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