Title :
Min-Max Model Predictive Control of a pilot plant
Author :
Gruber, J.K. ; Ramírez, D.R. ; Álamo, T. ; Bordons, C. ; Camacho, E.F.
Author_Institution :
Dept. de Ing. de Sist. y Autom., Univ. of Seville, Seville
Abstract :
This paper shows the application of a Min-Max Model Predictive Control (MMMPC) strategy to a pilot plant in which the temperature of a reactor is controlled. An approximation of the worst case cost is used to obtain the control action. This approximation can be easily computed yielding a solution of the min-max problem very close to the exact one. The complexity of the algorithm allows the real time implementation for typical prediction and control horizons. The behavior of the system and the controller will be illustrated by means of experimental results.
Keywords :
minimax techniques; predictive control; min-max model predictive control; pilot plant; Control systems; Cost function; Inductors; Predictive control; Predictive models; Process control; Signal processing; Temperature control; Uncertainty; Upper bound;
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2008.4586642
