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 ,
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