An algebraic approach to the control of spatially distributed systems — The 2-D systems case with a physical application
System, Structure and Control, Volume # 3 | Part# 1
Authors
Augusta, P.; Hurak, Z.; Rogers, E.
Digital Object Identifier (DOI)
10.3182/20071017-3-BR-2923.00033
Page Numbers:
196-201
Index Terms
distributed-parameter systems,spatially distributed systems,multidimensional systems,multivariate polynomials
Abstract
In this paper we develop new results on control systems design for spatially distributed linear systems using an n-D systems approach. The basic ideas are explained using as an example heat conduction in a rod where the measurements and control action applied are based on an array of sensors and heaters. The first part of the analysis given shows how the process dynamics for this case can be approximately described by a 2-D transfer function, i.e. a fraction of two bivariate polynomials. This is followed by stability analysis and tests. Finally, a Youla-Kučera parametrization of all stabilizing controllers is used to develop a simple design procedure for H2-optimal control laws.
References
[1] Augusta, P. and Z. Hurák (2006). Multidimensional
transfer function model of a deformable
mirror in adaptive optics systems. In: Proc. of
the 17th Int. Symp. on MTNS.
[2] Bamieh, B., F. Paganini and M. A. Dahleh (2002).
Distributed control of spatially invariant systems.
IEEE Trans. on Automatic Cont..
[3] D'Andrea, R. and G. E. Dullerud (2003). Distributed
control design for spatially interconnected
systems. IEEE Trans. on Automatic
Cont..
[4] Doyle, J., B. Francis and A. Tannenbaum (1990).
Feedback Control Theory. Macmillan.
[5] Dudgeon, D. E. and R. M. Mersereau (1984).
Multidimensional digital signal processing.
Prentice-Hall. ISBN 0-13-604959-1.
[6] Kulkarni, J., R. D'Andrea and B. Brandl (2002).
Application of distributed control techniques
to the adaptive secondary mirror of cornell's
large atacama telescope. In: In Proc.
of SPIE Astronomical Telescopes and Instrumentation
.
[7] Kučera, V. (1979). Discrete linear control. John
Wiley and Sons.
[8] Kučera, V. (2003). Parametrization of stabilizing
controllers with applications. Advances in
Automatic Control (M. Voicu, Ed.). pp. 173-
192. Kluwer.
[9] Langbort, C. and R. D'Andrea (2003). Imposing
boundary conditions for a class of spatially-interconnected
systems. In: In Proc. of American
Control Conference.
[10] Stein, G. and D. Gorinevsky (2005). Design of surface
shape control for large two-dimensional
arrays. IEEE Trans. on Control Systems
Technology 13(3), 422-433.
[11] Stewart, G. E., D. M. Gorinevsky and G. A.
Dumont (2003). Feedback controller design
for a spatially distributed system: The paper
machine problem. IEEE Trans. on Control
Systems Technology.
[12] Strikwerda, J. C. (1989). Finite difference
schemes and partial differential equations.
Wadsworth and Brooks.
[13] Šebek, M. (1988). n-D polynomial matrix equations.
IEEE Trans. on Aut. Control.
[14] Šebek, M. (1994). Multi-dimensional systems:
Control via polynomial techniques. Dr.Sc. thesis,
Czech Academy of Sciences, Prague.
[15] Šebek, M., M. Bisiacco and E. Fornasini (1988).
Controllability and reconstructibility conditions
for 2-D systems. IEEE Tr. on Aut. Con..
[16] Youla, D. C. and G. Gnavi (1979). Notes on n-
dimensional system theory. IEEE Trans. on
Circuts and Systems.
