DocumentCode :
2418913
Title :
Infinite Horizon MPC and model reduction applied to large scale chemical plant
Author :
Marquez, Alejandro ; Gomez, Cesar ; Deossa, Pablo ; Espinosa, Jairo
Author_Institution :
Fac. de Minas, Univ. Nac. de Colombia, Medellin, Colombia
fYear :
2011
fDate :
1-4 Oct. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper studies the application of Infinite Horizon Model predictive Control (MPC) and model reduction by means of Hankel norm to chemical process of interest in the field of control of large, complex and networked systems. In this paper we first describes the model of the complete process which is composed by three reactors and three distillation columns. Later, we show the main aspects about model reduction by means of Hankel norm and Infinite Horizon MPC and finally the model obtained through numerical linearization and model reduction is used to design centralized Infinite Horizon Model predictive Control (MPC).
Keywords :
chemical industry; chemical reactors; distillation equipment; industrial plants; infinite horizon; linearisation techniques; predictive control; Hankel norm; chemical process; complex system; distillation column; infinite horizon MPC; infinite horizon model predictive control; large scale chemical plant; model reduction; networked system; numerical linearization; reactor; Chemicals; Inductors; Mathematical model; Numerical models; Predictive models; Process control; Reduced order systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics Symposium, 2011 IEEE IX Latin American and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC)
Conference_Location :
Bogota
Print_ISBN :
978-1-4577-1689-8
Type :
conf
DOI :
10.1109/LARC.2011.6086842
Filename :
6086842
Link To Document :
بازگشت