Reparametrized ARX models for predictive control of staged and packed bed distillation columns

M. Muddu, Anuj Narang, Sachin C. Patwardhan

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This work is aimed at the development of reparametrized ARX type models for high dimensional and distributed parameter systems. To keep data length small while identifying a model with ARX structure, the feasibility of reparametrizing ARX models using the fractional order differential operators and orthonormal basis filters is explored. The identified noise model is further used for developing a novel observer based MPC scheme, which explicitly uses the identified unmeasured disturbance model for the future trajectory predictions. The efficacy of the proposed modeling technique and the MPC scheme is demonstrated by conducting (a) simulation studies on a staged distillation column and (b) experimental evaluations on a laboratory scale packed bed distillation column.

Original languageEnglish
Pages (from-to)114-130
Number of pages17
JournalControl Engineering Practice
Volume18
Issue number2
DOIs
Publication statusPublished - 02-2010

Fingerprint

Packed Bed
Distillation
Predictive Control
Distillation columns
Packed beds
Model
Distributed Parameter Systems
Orthonormal basis
Fractional Order
Experimental Evaluation
Differential operator
Efficacy
Observer
High-dimensional
Disturbance
Trajectories
Simulation Study
Trajectory
Filter
Prediction

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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Reparametrized ARX models for predictive control of staged and packed bed distillation columns. / Muddu, M.; Narang, Anuj; Patwardhan, Sachin C.

In: Control Engineering Practice, Vol. 18, No. 2, 02.2010, p. 114-130.

Research output: Contribution to journalArticle

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