Title :
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
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;
Conference_Titel :
Industry Applications (INDUSCON), 2014 11th IEEE/IAS International Conference on
Print_ISBN :
978-1-4799-5550-3
DOI :
10.1109/INDUSCON.2014.7059396
