Adaptive predictive control of a high purity distillation column using irregularly sampled multi-rate data

M. Muddu, Sachin C. Patwardhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This work aims at the development of multi-rate adaptive model predictive control (MR-AMPC) based on the fast rate model, which is identified from irregularly sampled multi-rate data. The model is assumed to have output error structure and is parameterized using generalized orthonormal basis filters. The identified model is used to generate inter-sample estimates of the irregularly sampled outputs and for performing future trajectory predictions in the proposed MRMPC formulation. The effectiveness of the proposed adaptive multi-rate control scheme is demonstrated by conducting simulation studies on a benchmark binary distillation column system[1]. The results from the simulation reveals that the proposed adaptive multi-rate model predictive control successfully manages transition of the distillation column from moderate purity region to the high purity region where the system exhibits highly nonlinear dynamics.

Original languageEnglish
Title of host publication2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
Pages192-197
Number of pages6
Publication statusPublished - 2011
Event2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011 - Hangzhou, Zhejiang, China
Duration: 23-05-201126-05-2011

Conference

Conference2011 International Symposium on Advanced Control of Industrial Processes, ADCONIP 2011
CountryChina
CityHangzhou, Zhejiang
Period23-05-1126-05-11

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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