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Integrated fault diagnosis and fault-tolerant control of nonlinear network control systems

  • Lina Yao*
  • , Zhaoyu Gu
  • , Hao Wang
  • *Corresponding author for this work
  • School of Electrical and Information Engineering

Research output: Contribution to journalArticlepeer-review

Abstract

A new integrated fault diagnosis and fault tolerant control algorithm of non-linear networked control systems is proposed in this paper. A Laplace transform strategy is used to analyze the random time delay problem. Besides, a new fault diagnosis algorithm based on learning observer is designed. Then, based on the fault diagnosis information, a new state feedback fault-tolerant controller is designed, which can ensure that the output of the post-fault system can still track the given target. Finally, a single-link robot is taken as an example for the numerical simulation. The simulation results show the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1385-1398
Number of pages14
JournalInternational Journal of Innovative Computing, Information and Control
Volume16
Issue number4
DOIs
StatePublished - Aug 2020
Externally publishedYes

Keywords

  • Laplace transform
  • Learning observer
  • Nonlinear networked control systems
  • State feedback control
  • Time delay

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