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A Comparative Experimental Evaluation of iPI and iPI-Fuzzy Controllers for a Thermal Process with a Long Dead Time

  • Sebastian Vega
  • , Johny Iza
  • , William Cruz
  • , Juan J. Gude
  • , Oscar Camacho
  • Universidad San Francisco de Quito
  • Universidad de Deusto

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

1 Scopus citations

Abstract

This paper introduces a control approach integrating intelligent proportional-integral (iPI) control with fuzzy logic, specifically designed for temperature management using the Temperature Control Laboratory (TCLab) platform. The proposed controller leverages a model-free methodology that transcends traditional PID constraints by incorporating real-time parameter estimation and adaptive algorithms. The system is adaptable to handle dynamic temperature variations and external disturbances by combining intelligent control techniques with fuzzy logic. Experimental validation in the TCLAB reveals significant improvements in temperature tracking precision and system robustness across diverse operational conditions.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2025
EditorsXin-She Yang, Alexis Drogoul, Gerd Wagner
PublisherScience and Technology Publications, Lda
Pages209-216
Number of pages8
ISBN (Print)9789897587597
DOIs
StatePublished - 2025
Event15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2025 - Bilbao, Spain
Duration: 11 Jun 202513 Jun 2025

Publication series

NameProceedings of the International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Volume1
ISSN (Print)2184-2841

Conference

Conference15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2025
Country/TerritorySpain
CityBilbao
Period11/06/2513/06/25

Keywords

  • Fuzzy Control
  • Intelligent PID
  • Model-Free Control
  • Nonlinear Systems
  • TCLab
  • Temperature Control

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