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Processes with Variable Parameters and Dominant Time Delay: A Fuzzy Adaptive Control Approaches Comparison

  • Edwin Anchitipan
  • , Oscar Camacho*
  • *Corresponding author for this work
  • Escuela Politecnica Nacional

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

6 Scopus citations

Abstract

The present brief shows the design and application of different fuzzy adaptive control techniques. These approaches are a Smith predictor with a dead time fuzzy gain scheduling block, a fuzzy gain scheduling PID controller, and an adaptive PID controller with a fuzzy supervisor block. A mixing tank with variable parameters and dominant dead time, as a benchmark, uses the three controllers. Each controller’s effectiveness is evaluated through a simulation test carried out on the MATLAB-Simulink 2020a platform: a tracking task in the presence of external disturbances. The results indicate that the system response with these controllers is stable, and the control signal is adequate because it remains inside its allowed range. ISE (integral square error), TVu (total variation of the control signal), ts (settling time), and %Mp (percentage of overshoot) indices measure the controllers’ performance.

Original languageEnglish
Title of host publicationRecent Advances in Electrical Engineering, Electronics and Energy - Proceedings of the CIT 2020
EditorsMiguel Botto Tobar, Henry Cruz, Angela Díaz Cadena
PublisherSpringer Science and Business Media Deutschland GmbH
Pages181-195
Number of pages15
ISBN (Print)9783030722074
DOIs
StatePublished - 2021
Externally publishedYes
Event15th Multidisciplinary International Congress on Science and Technology, CIT 2020 - Quito, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume762 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference15th Multidisciplinary International Congress on Science and Technology, CIT 2020
Country/TerritoryEcuador
CityQuito
Period26/10/2030/10/20

Keywords

  • Adaptive control
  • Fuzzy logic
  • PID
  • Smith predictor
  • Time delay

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