DocumentCode :
697162
Title :
Computational feasibility and performance of nonlinear model predictive control schemes
Author :
Findeisen, R. ; Diehl, M. ; Nagy, Z. ; Allgower, F. ; Bock, H.G. ; Schloder, J.P.
Author_Institution :
Inst. for Syst. Theor. in Eng., Univ. of Stuttgart, Stuttgart, Germany
fYear :
2001
fDate :
4-7 Sept. 2001
Firstpage :
957
Lastpage :
961
Abstract :
In recent years many theoretical issues related to nonlinear model predictive control (NMPC) have been addressed and solved. However there remain a number of problems that have to be solved before a successful application of NMPC in practice is possible. In this paper we examine the computational demand and performance of different (efficient) NMPC schemes if specially tailored dynamic optimization strategies are used. As example process we consider the control of a high purity distillation column.
Keywords :
distillation equipment; nonlinear control systems; optimisation; predictive control; process control; NMPC; computational demand; computational feasibility; dynamic optimization strategies; high purity distillation column; nonlinear model predictive control schemes; Cost function; Distillation equipment; Predictive control; Real-time systems; Stability analysis; Nonlinear predictive control; distillation; multiple shooting; quasi-infinite horizon NMPC; real-time optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
Type :
conf
Filename :
7076036
Link To Document :
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