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:


Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Algoritmo
- Robótica
- Biotecnología
Áreas temáticas:
- Métodos informáticos especiales