Chemical Engineering Journal 88 (2002) 163–174
Application of model predictive control and dynamic analysis to
a pilot distillation column and experimental verification
M. Alpbaz
a,∗
, S. Karacan
a
, Y. Cabbar
b
, H. Hapo ˘ glu
a
a
Faculty of Science, Chemical Engineering Department, Ankara University, 06100 Tandogan, Ankara, Turkey
b
General Director and Chairman of Turkish Sugar Factories Cooperation, Yeni¸ sehir, Ankara, Turkey
Received 12 February 2001; received in revised form 26 November 2001; accepted 28 November 2001
Abstract
The steady-state and dynamic behaviour of a binary packed distillation column have been simulated using a stagewise approach. The
model solutions have been obtained employing modified equilibrium including efficiency and non-equilibrium transfer unit. This work
compares an experimental and a theoretical analysis of the steady-state and dynamic behaviour of a packed distillation column using a
0.08m ID pilot-scale tower distilling a mixture of methanol–water. The packed distillation column was divided into four stages based
on McCabe–Thiele method. For control studies, reflux ratio was chosen as a manipulated variable, so the effect of the perturbation on
reflux ratio to the overhead temperature was examined. Theoretical and experimental results were compared in order to see the validity
of the stagewise approximation. The application of two types of model based control system was considered theoretically, viz PID and
dynamic matrix control (DMC). First-order plus dead time model and convolution model were used for step test in the control applications.
Performance of these control systems were tested using control performance criterion. These control systems were also compared with
open-loop dynamic behaviour and each other.
© 2002 Elsevier Science B.V. All rights reserved.
Keywords: Pilot distillation; Dynamic matrix control; PID
1. Introuction
Packed columns are modelled normally by employing
one of the two alternative approaches. The first one consists
of dividing the packing into various mass transfer sections,
each being treated as equivalent to a theoretical stage in a
plate column. The corresponding algorithms for stagewise
systems can then be applied. This method is of course only
as convenient as the ability to obtain an independent char-
acterization of the height equivalent of a theoretical plate
(HETP). This is a widely used approach, principally due
to its ease of application and the considerable quantity of
relevant data available in the literature [1].
The second technique involves the use of the average
vapour-phase mass fluxes of each component and solving
the resulting sets of differential equations directly [2,4]. The
Abbreviations: DMC, dynamic matrix control; ID, internal diameter; IV,
vapour flow; IMC, internal model control; ISE, integral of the square of
the error; LF, feed flow; LI, liquid flow; LO, liquid out; LOK, liquid
flow from the small reboiler to the big reboiler; LOB, liquid flow from
the big reboiler to the small reboiler; MPC, model predictive control; NP,
prediction horizon; NC, control horizon
∗
Corresponding author. Tel./fax: +90-312-223-2395.
E-mail address: alpbaz@science.ankara.edu.tr (M. Alpbaz).
latter may be achieved by using a finite difference approach,
polynomial estimation techniques or orthogonal collocation
on finite element methodologies. Karacan et al. [22,23] in-
vestigated the steady-state and dynamic properties of a pilot
plant packed distillation column experimentally and theo-
retically. In the theoretical work, a back-mixing model was
adapted to simulate the dynamic properties of the continuous
packed distillation column with a thermosiphon reboiler and
solved by orthogonal collocation on finite element. These
all involve a discretization of the basic continuum problem
in which the infinite set of numbers describing the unknown
functions is replaced by a finite number of unknown param-
eters, and this process, in general, necessitates some form
of approximation. The finite difference method is generally
the simplest to apply and thus is favoured by many workers.
In this work, the models are described as a set of ordinary
differential equations in which the height of the column is
divided into a number of stages. Peters [10] first suggested
the use of the concept of the HETP and Chilton and Colburn
[11] proposed the height of transfer unit (HTU) approach in
the investigation of the mass transfer operations.
Rubac et al. [12] suggested the use of vaporization
efficiencies in the modelling of packed columns. These va-
porization efficiencies involve an integrating concept which
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