User friendly robust MPC tuning of uncertain paper-making processes

Ning He, Dawei Shi, Jiadong Wang, Michael Forbes, Johan Backström, Tongwen Chen

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

A robust tuning problem for a two-degree-of-freedom model predictive controller is explored for single-input, single-output uncertain paper-making processes. The objective is to achieve satisfactory closed-loop responses, as measured by overshoots, settling times and output oscillations with user-specified parametric uncertainties. As the output variation cannot be easily specified by the end users, two methods are proposed to connect a total variation specification to user-friendly indices, based on which two algorithms are designed to solve the tuning problem. An application to a process extracted from the pulp and paper industry is employed to verify the effectiveness of the proposed algorithms.

Original languageEnglish
Pages (from-to)1021-1026
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number8
DOIs
Publication statusPublished - 1 Jul 2015
Externally publishedYes
Event9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015 - Whistler, Canada
Duration: 7 Jun 201510 Jun 2015

Keywords

  • Controller tuning
  • Model predictive control
  • Pulp and paper
  • Robust performance
  • Total variation

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