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
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