Performance analysis of optimized controllers with bio-inspired algorithms

Ibarra Alexander (Universidad de las Fuerzas Armadas-ESPE)
Caiza Daniel (Universidad de las Fuerzas Armadas-ESPE)
Ayala Paul (Universidad de las Fuerzas Armadas-ESPE)
Arcos-Aviles Diego (Universidad de las Fuerzas Armadas-ESPE)

Bulletin of Electrical Engineering and Informatics
Vol 9, No 6: December 2020

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.