Advanced Control System Design for a Plate Heat Exchanger

Daniel Martinez Vega, Hernando Gonzalez Acevedo

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

2 Scopus citations

Abstract

This paper shows the design of two control techniques, the linear quadratic Gaussian (LQG) control and the quantitative feedback theory (QFT) control for the dynamic model of a plate heat exchanger obtained from the principles of heat transfer in fluids. This model is linearized using Taylor series expansions for the three non-linear differential equations of the model. Both controllers are designed in MATLAB to control the temperature of the cold stream output of the heat exchanger, and their performance is compared by three types of analysis: the effect due to the uncertainty in the parameters, the response for a variable set-point, and the performance criteria based on the values of the error indexes.

Original languageEnglish
Title of host publication2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings
EditorsLuz Alejandra Magre Colorado
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194967
DOIs
StatePublished - 4 Nov 2020
Event9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Cartagena de Indias, Colombia
Duration: 4 Nov 20206 Nov 2020

Publication series

Name2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings

Conference

Conference9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020
Country/TerritoryColombia
CityCartagena de Indias
Period4/11/206/11/20

Keywords

  • Dynamic modeling
  • heat exchanger
  • linear quadratic Gaussian (LQG) controller
  • quantitative feedback theory (QFI)

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