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Real-time Feasibility of Nonlinear Predictive Control for
Large Scale Processes - a Case Study.
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Author(s):
Zoltan Nagy, Rolf Findeisen, Moritz Diehl, Frank Allgöwer,
H. Georg Bock, Serban Agachi, Johannes P. Schlöoder,
Daniel Leineweber |
Publication Info:
Proc. American Control Conference 2000, pp. 4249-4254
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Abstract:
Despite many control theoretic and numerical advances,
up to now there is no realistic feasibility study of modern nonlinear model
predictive control (NMPC) schemes for the
real-time control of large-scale processes.
In this paper the application of NMPC to a nontrivial process
control example, namely the control of a high-purity binary
distillation column, is considered. Using models of different complexity
and different control schemes, the computational load,
resulting closed loop performance and the effort needed to design
the controllers is compared. It is shown that a real-time
application of modern NMPC schemes is feasible with existing
techniques, even for a 164th order model with a sampling time
of 30 s, if a state of the art dynamic optimization algorithm and
an efficient NMPC scheme
are used.
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Date:
March 2000
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Type of Publication:
Internal Report 2000-4
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Publisher/Supervisor:
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File Download:
ps,
pdf
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Universität Stuttgart