Improved event-triggered control for a chemical tubular reactor with singular perturbations

Xiaona Song, Qiyuan Zhang, Shuai Song, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This study proposes an improved event-triggered controller based on spatiotemporally sampled data for the temperature and concentration profiles of a chemical tubular reactor subject to singular perturbations. The resulting system contains not only the spatial location characteristics but also multiple-time-scale features, which results in problems in the system design. To reduce the network communication burden, a spatiotemporal data approach is employed, based on which an improved spatiotemporal-event-triggered mechanism is proposed. Furthermore, a point-control strategy is developed to reduce the system-control costs for limited actuators. Finally, some conditions that guarantee stability of the chemical tubular reactor system are given, and the simulation results are presented to demonstrate the validity and applicability of the proposed design.

Original languageEnglish
Pages (from-to)49-56
Number of pages8
JournalJournal of Process Control
Volume112
DOIs
Publication statusPublished - 2022 Apr

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61976081 , in part by the Natural Science Fund for Excellent Young Scholars of Henan Province under Grant 202300410127 , in part by Key Scientific Research Projects of Higher Education Institutions in Henan Province under Grant 22A413001 , and in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (No. NRF-2020R1A2C1005449 ).

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • Chemical tubular reactor
  • Improved event-triggered mechanism
  • Point-control strategy
  • Singularly perturbed partial differential equation system
  • Spatiotemporally sampled data

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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