Title of article
Process identification, uncertainty characterisation and robustness analysis of a pilot-scale distillation column
Author/Authors
Ali Nooraii، نويسنده , , J. A. Romagnoli and J. Figueroa، نويسنده ,
Pages
18
From page
247
To page
264
Abstract
In this paper dierent approaches for developing robust advanced control techniques are investigated. A pilot-scale distillation
column connected to an industrial distributed control system (ABB MOD 300) that in turn has been interfaced to a VAX-cluster
through an Ethernet Gateway is used as a pseudo-industrial set-up to perform these studies. A novel robust multivariable, low
order, high performance, model based controller was designed and implemented as a standard PID block within the distributed
control system. To provide a systematic approach for designing such an advanced robust controller, several techniques such as
dynamic modelling, system identi®cation, uncertainty identi®cation and characterisation etc., are incorporated. The problem of
uncertainty characterisation is fully addressed from both theoretical and practical point of view. Both structured and highly struc-
tured uncertainty characterisation approaches are used to investigate the robust stability and performance of the control system.
Several practical techniques are proposed for designing a robust model-based controller that are readily applicable in an industrial
environment. The paper is accompanied by several simulations and also experimental evidences which demonstrate the eectiveness
of the proposed approach.
Keywords
Uncertainty description , Structured uncertainty , Highly struc-tured uncertainty , Process identi®cation , Distillation column control , Robustness analysis
Journal title
Astroparticle Physics
Record number
401114
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