DocumentCode
2382707
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
fYear
2008
fDate
11-13 June 2008
Firstpage
1115
Lastpage
1120
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586642
Filename
4586642
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