Relative Threshold-Based Event-Triggered Control for Nonlinear Constrained Systems With Application to Aircraft Wing Rock Motion

Lei Liu, Yan Jun Liu, Shaocheng Tong, Zhiwei Gao

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)
53 Downloads (Pure)

Abstract

This paper concentrates upon the event-driven controller design problem for a class of nonlinear single input single output (SISO) parametric systems with full state constraints. A varying threshold for the triggering mechanism is exploited, which makes the communication more flexible. Moreover, from the viewpoint of energy conservation and consumption reduction, the system capability becomes better owing to the contribution of the proposed event triggered mechanism. In the meantime, the developed control strategy can avoid the Zeno behavior since the lower bound of the sample time is provided. The considered plant is in a lower-triangular form, in which the match condition is not satisfied. To ensure that all the states to retain in a predefined region, a barrier Lyapunov function (BLF) based adaptive control law is developed. Due to the existence of the parametric uncertainties, an adaptive algorithm is presented as an estimated tool. All the signals appearing in the closed-loop systems are then proven to be uniformly ultimately bounded (UUB). Meanwhile, the output of the system can track a given signal as far as possible. In the end, the effectiveness of the proposed approach is validated by an aircraft wing rock motion system.

Original languageEnglish
Pages (from-to)911-921
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number2
Early online date17 May 2021
DOIs
Publication statusPublished - 1 Feb 2022

Keywords

  • Adaptive control
  • Barrier Lyapunov function
  • Closed loop systems
  • event-driven control
  • full state constraints
  • Informatics
  • Lyapunov methods
  • parametric systems
  • Rocks
  • Trajectory
  • Uncertainty
  • varying trigger threshold
  • Barrier Lyapunov function (BLF)

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