Event-triggered intelligent critic control with input constraints applied to a nonlinear aeroelastic system

Bo Sun*, Xuerui Wang, Erik Jan van Kampen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
27 Downloads (Pure)

Abstract

In this paper, we establish an event-triggered intelligent control scheme with a single critic network, to cope with the optimal stabilization problem of nonlinear aeroelastic systems. The main contribution lies in the design of a novel triggering condition with input constraints, avoiding the Lipschitz assumption on the inverse hyperbolic tangent function. Based on an improved weight updating criterion that eliminates the requirement of initial admissible control, the control law is obtained approximately by online training of a single critic network. The Lyapunov stability and the Zeno phenomenon of the closed-loop system are analysed. The feasibility of the established algorithm is verified by applying it to an optimal stabilization task of a nonlinear aeroelastic system. The results reveal that the developed approach can handle input-constrained optimal control problems, with performance comparable to the time-based method that updates control inputs at each instant, while reducing the computational and communication's load.

Original languageEnglish
Article number107279
Number of pages11
JournalAerospace Science and Technology
Volume120
DOIs
Publication statusPublished - 2022

Keywords

  • Adaptive dynamic programming
  • Artificial neural network
  • Event-triggered control
  • Input constraints
  • Nonlinear aeroelastic system

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