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Finite Dimensional Modeling and Control of Distributed Parameter Systems
Authors:
Daguang
Zheng, Karlene A. Hoo*, and Michael J. Piovoso°
*Department of Chemical Engineering, Texas Tech University, Lubbock, TX
°School of Graduate Professional Studies, Penn State University, Malvern, PA 19355
ABSTRACT
Developing low-order models of high fidelity is important if the
objective is accurate control of the DPS. This work presents a
novel method to develop a low-order models when there is no
available exact model of the system. The foundations for this
method, SVD-KL, are singular value decomposition (SVD) theory and
the Karhunen-Loève (KL) expansion. It is shown that
satisfactory closed-loop performance of the nonlinear DPS can be
obtained using a Dynamic Matrix Controller designed using the
finite order model.
Publication Information:
Download
the manuscript - PDF format
Proc. American Automatic Control Conference, paper FM12-2, Anchorage, AK, May 2002.
Corresponding Author: Karlene A. Hoo
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