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Dynamical behavior of the hybrid exothermic chemical reactor with imperfect mixing

  • Silesian University of Technology

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

6 Citations (Scopus)

Abstract

The main goal is to design a hybrid exothermic chemical reactor that exhibits hysteresis or oscillatory behavior. Then, the hybrid system can be used as a benchmark plant for testing new control algorithms. In the hybrid reactor, the reactor vessel and jacket are real, but the reaction heat is simulated by means of the electric heater and a mathematical model of the process. Because in the real hybrid reactor the heating power is limited by its maximum value and the reactor content is not well-mixed, the paper discusses the influence of these factors on the dynamical behavior of the hybrid system. It is shown that the hysteresis or oscillatory behavior can be intensified, when the reactor content is poorly mixed. Furthermore, modification of the reaction parameters may also intensify the hysteresis behavior in the presence of heating power saturation.

Original languageEnglish
Title of host publication2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages367-372
Number of pages6
ISBN (Electronic)9781538624029
DOIs
Publication statusPublished - 19 Sept 2017
Event22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017 - Miedzyzdroje, Poland
Duration: 28 Aug 201731 Aug 2017

Publication series

Name2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017

Conference

Conference22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
Country/TerritoryPoland
CityMiedzyzdroje
Period28/08/1731/08/17

Keywords

  • CSTR
  • exothermic reaction
  • imperfect mixing
  • saturation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Modeling and Simulation

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