Finite time fault tolerant tracking control for multiple unmanned aerial vehicles with actuator faults

Moshu Qian, Zhu Wu, Zhen Zhang, Cuimei Bo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

An adaptive fast nonsingular integral terminal sliding mode control scheme is proposed for the distributed formation control problem of multiple unmanned aerial vehicles (UAVs) affected by actuator faults and external disturbances. In order to achieve a good cooperative tracking performance of UAVs during mission execution, the adverse effect of the lumped disturbances composed of actuator failures, wind and vortex disturbances is estimated by the cerebellar model articulation neural network, meanwhile the tangent function is introduced to eliminate the chattering of the sliding mode. Then the analysis of superior convergence performance of the fast nonsingular integral terminal sliding manifold is implemented, and the finite time stability of the closed-loop formation flight control system is proved. Finally, the simulation experiments verify that the proposed approach is superior to the nonsingular integral terminal sliding mode control for the formation control system of faulty multiple UAVs.

Original languageEnglish
Pages (from-to)3142-3160
Number of pages19
JournalInternational Journal of Adaptive Control and Signal Processing
Volume36
Issue number12
DOIs
StatePublished - Dec 2022

Keywords

  • cerebellar model articulation neural network
  • nonsingular integral terminal sliding mode control
  • unmanned aerial vehicle

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