Optimal tuning parameters of the dynamic matrix predictive controller with ant colony optimization

Author

de Almeida, Gustavo Maia ; De S.L. Cuadro, Marco Antonio ; Amaral, Rogerio Passos P. ; Felix Salles, Jose Leandro

Author_Institution

Inst. Fed. do Espirito Santo, Coordenadoria de Automacao Ind., Serra, Brazil

fYear

2014

Firstpage

1

Lastpage

6

Abstract

The Dynamic Matrix Control (DMC) Algorithm is a control method widely applied to industrial processes. The goal of this work is to apply the Ant Colony Optimization (ACO) to optimize the tuning parameters of the Dynamic Matrix Controller for SISO (single-input single-output) and MIMO (multi-input multi-output) linear dynamical systems with constraints. A comparison is made between the computational method proposed here with the Genetic Algorithm, showing advantages and disadvantages of these two methods of tuning.

Keywords

MIMO systems; ant colony optimisation; control system synthesis; dynamic programming; genetic algorithms; industrial control; matrix algebra; optimal control; ACO; DMC Algorithm; SISO; ant colony optimization; computational method; dynamic matrix predictive controller; genetic algorithm; industrial processes; linear dynamical systems; multi-input multi-output systems; optimal tuning parameters; single-input single-output controller; Genetic algorithms; Heuristic algorithms; MIMO; Predictive control; Time factors; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications (INDUSCON), 2014 11th IEEE/IAS International Conference on

Print_ISBN

978-1-4799-5550-3

Type

conf

DOI

10.1109/INDUSCON.2014.7059396

Filename

7059396