Performance analysis of optimized controllers with bio-inspired algorithms


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.

Año de publicación:

2020

Keywords:

  • controllers
  • Intelligence algorithm
  • PID Controller
  • Bio-inspired algorithm
  • Chromosomes
  • Genetic Algorithm

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Algoritmo
  • Robótica
  • Biotecnología

Áreas temáticas:

  • Métodos informáticos especiales