Sintonización de un controlador PID implementado en un PLC haciendo uso de inteligencia de enjambres
Artículo de revista
2017
Universidad Autónoma del Caribe. Facultad de Ingeniería
Automation
Artificial intelligence
Swarm intelligence
Auto-Tuning
Automatización
Inteligencia artificial
Inteligencia de enjambres
Auto-Sintonía
PLC
PID
Simulation methods
Digital computer simulation
Métodos de simulación
Simulación por computadores digitales
Model-integrated computing
Mathematical models
Computación integrada en modelos
Modelos matemáticos

Artificial intelligence

Swarm intelligence

Auto-Tuning

Automatización

Inteligencia artificial

Inteligencia de enjambres

Auto-Sintonía

PLC

PID

Simulation methods

Digital computer simulation

Métodos de simulación

Simulación por computadores digitales

Model-integrated computing

Mathematical models

Computación integrada en modelos

Modelos matemáticos

This project implements a swarm intelligence algorithm in an Allen Bradley PLC. The task of the algorithm is to estimate a mathematical model of a system or process to allow finding parameters of a PID controller. The algorithm is named particle swarm intelligence and it emulates the behavior of a flock of birds when they are flying. The test of the algorithm in the PLC was made using mathematical models of systems that were simulated in Matlab running over a personal computer (PC). So, a connection between the PLC and PC was made using OPC (OLE for Process Control). This way, Matlab sends information about the state of the process, and the PLC estimates the mathematical model of the system, tuning the PID controller and then it sends to PC a suited control action. The results show that the performance of the system controlled with the adaptive PID is similar to the system controlled using a standard PID. This project shows the potential of
to use adaptive control with swarm intelligence on industrial environments
- Articulos [856]
The following license files are associated with this item: