Optimizing LADRC Bubble Tower Control System Based on Differential Evolution Algorithm

Jianfeng Su, Lihua Wang, Liyuxin Chen, Dongxiang Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The linear active disturbance rejection controller (LADRC) does not rely on models and has strong robustness, which makes it widely used in engineering fields. In the chemical process, the internal mechanism of the bubble column reactor is complicated. It is difficult to model, has many interferences and is impossible to measure, so the control effect of LADRC has huge application potential. In order to solve the problem that the parameters of LADRC are not conducive to tune, this paper proposes a method for tuning LADRC parameters based on differential evolution algorithm. The simulation results show that the control system has good robustness, can effectively suppress the effects of model uncertainty and external uncertain disturbances, and has good control effect in the removal of iodine process in acid environment in the bubble column.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2639-2644
Number of pages6
ISBN (Electronic)9781728158549
DOIs
Publication statusPublished - Aug 2020
Event32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China
Duration: 22 Aug 202024 Aug 2020

Publication series

NameProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference32nd Chinese Control and Decision Conference, CCDC 2020
Country/TerritoryChina
CityHefei
Period22/08/2024/08/20

Keywords

  • Bubble tower
  • Differential evolution algorithm
  • Extended state observer
  • LADRC

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