Control relevant model reduction: a reduced order model for 'model IV' fluid catalytic cracking units

Tatrai F.Z., Lant P.A., Lee P.L., Ian T C. and Newell R.B. (1994) Control relevant model reduction: a reduced order model for 'model IV' fluid catalytic cracking units. Journal of Process Control, 4 1: 3-14. doi:10.1016/0959-1524(94)80019-7


Author Tatrai F.Z.
Lant P.A.
Lee P.L.
Ian T C.
Newell R.B.
Title Control relevant model reduction: a reduced order model for 'model IV' fluid catalytic cracking units
Journal name Journal of Process Control   Check publisher's open access policy
ISSN 0959-1524
Publication date 1994
Sub-type Article (original research)
DOI 10.1016/0959-1524(94)80019-7
Volume 4
Issue 1
Start page 3
End page 14
Total pages 12
Subject 1706 Computer Science Applications
2207 Control and Systems Engineering
2209 Industrial and Manufacturing Engineering
2611 Modelling and Simulation
Abstract This paper extends the systematic model reduction approach of Robertson, developed for startup/shutdown operations, to regulatory/servo control applications. The 'Model IV' FCCU model developed by McFarlane et al. is used as a case study. To facilitate model reduction, the distributed parameter FCCU is firstly transformed into a lumped parameter representation prior to linearization. The lumping procedure presented is based on integral average properties, thereby overcoming the problem of a dramatic increase in the number of states whilst still retaining model accuracy. The subsequent linearization and the properties of the linear model are discussed. The 'lumped' parameter model is reduced by applying a structure preserving model reduction technique. The performance of the reduced order model, incorporated within a linear multivariable controller, was seen to lie within the preset bounds of the reference model. In contrast, the deficiency of traditional heuristic model reduction is also illustrated.
Keyword FCCU
lumped parameter modelling
model reduction
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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Created: Tue, 14 Jun 2016, 05:40:59 EST by System User