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Ibarra Alexander
Universidad de las Fuerzas Armadas-ESPE
Electrical & Electronics Engineering

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Performance analysis of optimized controllers with bio-inspired algorithms Ibarra Alexander; Caiza Daniel; Ayala Paul; Arcos-Aviles Diego
Bulletin of Electrical Engineering and Informatics Vol 9, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v9i6.2619

Abstract

This article proposes tuning of PID controllers through optimization techniques known as collective intelligence algorithms: the colony of ants and cuckoo search, applied to the temperature control of a PCT-2 plant. The dynamic behavior analysis of the controllers tuned by the application of collective intelligence algorithms were performed in comparison to a controller tuned by the genetic algorithm method and a controller designed with the PID tuner tool, obtaining favorable results in the tuning of the algorithms cuckoo search and ants colony in comparison to the PID tuner method and with a faster execution speed than the genetic algorithms method. 
Co-Authors Arcos-Aviles Diego Ayala Paul Caiza Daniel