Automatica 45 (2009) 1542–1548
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Automatica
journal homepage: www.elsevier.com/locate/automatica
Brief paper
LQ control design of a class of hyperbolic PDE systems: Application to
fixed-bed reactor
✩
Ilyasse Aksikas
a,∗
, Adrian Fuxman
a
, J. Fraser Forbes
a
, Joseph J. Winkin
b
a
Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2G6
b
Department of Mathematics, University of Namur, Belgium
article info
Article history:
Received 12 April 2007
Received in revised form
28 December 2008
Accepted 18 February 2009
Available online 20 March 2009
Keywords:
Linear-quadratic regulator
Hyperbolic partial differential equations
Infinite-dimensional systems
Fixed-bed reactors
Closed-loop stability
abstract
A general linear controller design method for a class of hyperbolic linear partial differential equation
(PDEs) systems is presented. This is achieved by using an infinite-dimensional Hilbert state-space
description with infinite-dimensional (distributed) input and output. A state LQ-feedback operator is
computed via the solution of a matrix Riccati differential equation in the space variable. The proposed
method is applied to a fixed-bed chemical reactor control problem, where one elementary reaction takes
place. An optimal controller is designed for linearized fixed-bed reactor model, it is applied to the original
nonlinear model and the resulting closed-loop stability is analyzed. Numerical simulations are performed
to show the performance of the designed controller.
© 2009 Elsevier Ltd. All rights reserved.
1. Introduction
Many unit operations in chemical plants include transport pro-
cesses that can best be described by partial differential equa-
tions (PDEs): see Christofides (2001), Dochain (1994) and Laabissi,
Achhab, Winkin, and Dochain (2001). When diffusive transport
is negligible and convective transport is dominant, processes can
be described by first-order hyperbolic PDEs. The class of such
processes includes tubular reactors, in which the medium is not
homogeneous (e.g., fixed-bed reactors).
Significant research efforts have been focused on the develop-
ment of control methods for PDE systems. In order to respect the
distributed nature of these systems, many approaches have been
developed to control infinite-dimensional systems, e.g. linear-
quadratic methods (see Bensoussan, Da Prato, Delfour, and Mit-
ter (2007) and Curtain and Zwart (1995)), sliding mode control
techniques (see Orlov and Utkin (1987)) and flatness-based control
approach (see Lynch and Rudolph (2000)).
✩
The material in this paper was partially presented at European Control
Conference, Kos, Greece, 2007. This paper was recommended for publication in
revised form by Associate Editor Nicolas Petit under the direction of Editor Miroslav
Krstic.
∗
Corresponding author. Tel.: +1 780 492 6238; fax: +1 780 492 2881.
E-mail addresses: aksikas@ulaberta.ca (I. Aksikas), afuxman@ualberta.ca
(A. Fuxman), fraser.forbes@ualberta.ca (J.F. Forbes), joseph.winkin@fundp.ac.be
(J.J. Winkin).
Linear-Quadratic (LQ) optimal control plays a crucial role in
the control literature. It is known that the solution of the LQ
optimal control problem for infinite-dimensional systems can be
obtained by two popular methods. One is based on the solution
of an algebraic operator Riccati equation for state-space model
(see e.g. Curtain and Zwart (1995)). This method was recently
applied to a particular class of hyperbolic PDEs: see Aksikas,
Winkin, and Dochain (2008). The second alternative, called spectral
factorization, derives the feedback operator via the solution of
an operator Diophantine equation: see Callier and Winkin (1990,
1992). This method was recently applied to a nonisothermal
plug flow reactor in order to regulate the temperature and the
reactant concentration in the reactor: see Aksikas, Winkin, and
Dochain (2007). In Aksikas et al. (2008), it was assumed that all
the coefficients in the convective transport term are identical in
all equations. In this paper, the work (Aksikas et al., 2008) is
extended to a more general class of hyperbolic PDEs by using an
infinite-dimensional Hilbert state-space description with infinite-
dimensional (distributed) input and output and the new approach
is applied to a fixed-bed reactor model (Aksikas & Forbes, 2007).
The aim of this paper is to design a spatially distributed control
so that the distributed state x(z , t ) is driven in an optimal fashion
towards the equilibrium spatial profile of the state variables
i.e. x(z , t ) → x
ss
.
The contributions of this paper can be summarized as follows.
Section 2 describes both the hyperbolic PDEs that we are interested
in and their infinite-dimensional state-space formulation. In
designing an optimal controller, an important exponential stability
0005-1098/$ – see front matter © 2009 Elsevier Ltd. All rights reserved.
doi:10.1016/j.automatica.2009.02.017