Event-triggered fixed-time fault-tolerant attitude control for the flying-wing UAV using a Nussbaum-type function

Wenda Yang, Xiangxi Wen, Li Mo*, Maolong Lv, Zhilong Yu, Minggong Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper introduces an innovative adaptive event-triggered fault-tolerant attitude control framework designed for a flying-wing unmanned aerial vehicle (UAV) operating under constraints such as limited embedded resources, unknown actuator failures, system uncertainties, and external disturbances. The proposed scheme incorporates several noteworthy features: (i) Implementation of a relative threshold event-triggered mechanism to efficiently alleviate communication pressures and computational burdens inherent in the attitude control system. (ii) Utilization of a radial basis function neural network to approximate lumped disturbances, reducing dependence on prior knowledge. (iii) Adaptive compensation for sampling errors and actuator faults by employing the Nussbaum gain. (iv) Integration of a smooth function to address singularity issues and prevent Zeno behavior. Furthermore, Lyapunov analysis validates that all signals within the closed-loop system remain bounded and converge within a predetermined time frame. Comparative numerical simulations underscore the effectiveness and superiority of the proposed control approach.

Original languageEnglish
Article number109336
JournalAerospace Science and Technology
Volume152
DOIs
Publication statusPublished - Sept 2024

Keywords

  • Event-triggered control
  • Fault-tolerant control
  • Fixed-time control
  • Flying-wing UAV
  • Nussbaum gain

Fingerprint

Dive into the research topics of 'Event-triggered fixed-time fault-tolerant attitude control for the flying-wing UAV using a Nussbaum-type function'. Together they form a unique fingerprint.

Cite this