NDLI: Identification of a fluidized catalytic cracking unit: an orthonormal basis function approach

Content Provider	IEEE Xplore Digital Library
Author	Van Donkelaar, E.T. Heuberger, P.S.C. Van den Hof, P.M.J.
Copyright Year	1998
Description	Author affiliation: Mech. Eng. Syst. & Control Group, Delft Univ. of Technol., Netherlands (Van Donkelaar, E.T.)
Abstract	Multivariable system identification of a model IV fluidized catalytic cracking unit is performed using a linear time invariant model parametrization based on orthonormal basis functions. This model structure is a linear regression structure which results in a simple convex optimization problem for least squares prediction error identification. Unknown initial conditions are estimated simultaneously with the system dynamics to account for the slow drift of the measured output from the given initial condition to a stationary working point. The model accuracy for low frequencies is improved by a steady-state constraint on the estimated model and incorporation of prior knowledge of the large time constants in the model structure. The model accuracy is furthermore improved by an iteration over identification of a high order model and model reduction. First a high order model is estimated using an orthonormal basis. This model is reduced and used to generate a new orthonormal basis which is used in the following iteration step for high order estimation. With the approach followed accurate models over a large frequency range are estimated with only a limited amount of data.
Starting Page	1914
Ending Page	1917
File Size	549377
Page Count	4
File Format	PDF
ISBN	0780345304
ISSN	07431619
DOI	10.1109/ACC.1998.707355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Fluidization Frequency estimation Reduced order systems MIMO Ear FCC Economic forecasting Environmental economics Mechanical engineering Control systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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