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PD + i Fuzzy Controller optimized by PSO applied to a variable dead time process

  • J. Campos
  • , S. Jaramillo
  • , L. Morales
  • , O. Camacho
  • , D. Chavez
  • Escuela Politecnica Nacional

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

8 Scopus citations

Abstract

This paper presents the design of a PD + I fuzzy controller applied to control the temperature of a nonlinear chemical process with variable dead time which is composed of a mixing tank. One of the biggest problems when fuzzy controllers are designed is the definition of its membership functions and gains (in case of these exist). For tuning and getting the best parameters of the controller, the optimization is performed using the evolutionary algorithm PSO (Particles Swarm Optimization), which needs minimize an objective function. In this work, it has been chosen the Integral Square Error (ISE), performance metric that allows knowing how fast the controller takes the system output to the desired reference. Finally, the proposed optimized controller is compared by simulations with other controllers applied to a mixing tank with variable dead time.

Original languageEnglish
Title of host publication2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666579
DOIs
StatePublished - 17 Dec 2018
Externally publishedYes
Event3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018 - Cuenca, Ecuador
Duration: 15 Oct 201819 Oct 2018

Publication series

Name2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018

Conference

Conference3rd IEEE Ecuador Technical Chapters Meeting, ETCM 2018
Country/TerritoryEcuador
CityCuenca
Period15/10/1819/10/18

Keywords

  • PD + I fuzzy
  • PSO
  • fuzzy controller
  • mixing tank

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